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11,801 Results Found

  • Article
  • Open Access
2 Citations
2,586 Views
16 Pages

21 July 2023

For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective opt...

(This article belongs to the Section Evolutionary Algorithms and Machine Learning)
  • Article
  • Open Access
18 Citations
4,534 Views
26 Pages

17 January 2023

Portfolio optimization is a multi-objective optimization problem (MOOP) with risk and profit, or some form of the two, as competing objectives. Single-objective portfolio optimization requires a trade-off coefficient to be specified in order to balan...

(This article belongs to the Collection Feature Paper in Metaheuristic Algorithms and Applications)
  • Article
  • Open Access
101 Citations
10,840 Views
15 Pages

11 May 2017

Due to the scarcity of conventional energy resources and the greenhouse effect, renewable energies have gained more attention. This paper proposes methods for multi-objective optimal design of hybrid renewable energy system (HRES) in both isolated-is...

(This article belongs to the Section F: Electrical Engineering)
  • Review
  • Open Access
95 Citations
12,185 Views
25 Pages

6 April 2023

The multi-objective optimization problem is difficult to solve with conventional optimization methods and algorithms because there are conflicts among several optimization objectives and functions. Through the efforts of researchers and experts from...

(This article belongs to the Special Issue Advances in Natural Computing: Methods and Application)
  • Article
  • Open Access
6 Citations
7,334 Views
22 Pages

30 March 2024

In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower w...

(This article belongs to the Special Issue Recent Advances in Multi-Objective Algorithms and Optimization 2023–2024)
  • Article
  • Open Access
5 Citations
3,644 Views
16 Pages

Multi-Objective Optimization in 3D Floorplanning

  • Zhongjie Jiang,
  • Zhiqiang Li and
  • Zhenjie Yao

Three-dimensional integrated circuits can significantly mitigate the challenges posed by shrinking feature sizes and enable heterogeneous integration. This paper focuses on the 3D floorplanning problem. We formulate it as a multi-objective optimizati...

  • Article
  • Open Access
3 Citations
2,365 Views
17 Pages

13 March 2025

For large-scale multi-objective optimization, it is particularly challenging for evolutionary algorithms to converge to the Pareto Front. Most existing multi-objective evolutionary algorithms (MOEAs) handle convergence and diversity in a mutually dep...

(This article belongs to the Section Analysis of Algorithms and Complexity Theory)
  • Article
  • Open Access
6 Citations
2,204 Views
17 Pages

7 November 2022

Optimizing the location of physical activity spaces (PAS) to ensure health, equity and efficiency has long been an important issue in urban planning. Given the health benefits of urban green spaces (UGS), taking Gongshu District in Hangzhou as a case...

  • Proceeding Paper
  • Open Access
9 Citations
3,712 Views
16 Pages

Multi-Objective Ant Colony Optimization (MOACO) Approach for Multi-Document Text Summarization

  • Murali Krishna Muddada,
  • Jayavani Vankara,
  • Sekharamahanti S. Nandini,
  • Girija Rani Karetla and
  • Kaparapu Sowjanya Naidu

27 January 2024

The demand for creating automatic text summarization methods has significantly emerged as a result of the web’s explosive growth in textual data and the challenge of finding re-quired information within this massive volume of data. Multi-docume...

(This article belongs to the Proceedings of Eng. Proc., 2023, RAiSE-2023)
  • Review
  • Open Access
137 Citations
19,585 Views
49 Pages

Wireless Sensor Network Optimization: Multi-Objective Paradigm

  • Muhammad Iqbal,
  • Muhammad Naeem,
  • Alagan Anpalagan,
  • Ashfaq Ahmed and
  • Muhammad Azam

20 July 2015

Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has t...

(This article belongs to the Section Sensor Networks)
  • Article
  • Open Access
6 Citations
2,399 Views
18 Pages

29 August 2023

The design of linear Support Vector Machine (SVM) classification techniques is generally a Multi-objective Optimization Problem (MOP). These classification techniques require finding appropriate trade-offs between two objectives, such as the amount o...

(This article belongs to the Section E2: Control Theory and Mechanics)
  • Article
  • Open Access
7 Citations
3,478 Views
38 Pages

Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems. To address this issue, a new approach is proposed in this paper that combines multi-populat...

(This article belongs to the Section Biological Optimisation and Management)
  • Article
  • Open Access
7 Citations
6,581 Views
23 Pages

5 March 2019

The standard covariance matrix adaptation evolution strategy (CMA-ES) is highly effective at locating a single global optimum. However, it shows unsatisfactory performance for solving multimodal optimization problems (MMOPs). In this paper, an improv...

  • Feature Paper
  • Article
  • Open Access
14 Citations
5,216 Views
31 Pages

Various dominance structures have been proposed in the multi-objective optimization literature. However, a systematic procedure to understand their effect in determining the resulting optimal set for generic domination principles, besides the standar...

(This article belongs to the Collection Feature Papers in Mathematical and Computational Applications 2023)
  • Article
  • Open Access
13 Citations
3,054 Views
20 Pages

21 June 2022

The objectives of flood control, power generation, water supply and ecology for reservoir operation are neither completely coordinated nor completely opposed, and its optimal operation and decision-making is very complicated. This study proposed a me...

(This article belongs to the Section Environmental Sciences)
  • Article
  • Open Access
11 Citations
5,164 Views
20 Pages

Multi-Objective Optimization of Plastics Thermoforming

  • António Gaspar-Cunha,
  • Paulo Costa,
  • Wagner de Campos Galuppo,
  • João Miguel Nóbrega,
  • Fernando Duarte and
  • Lino Costa

26 July 2021

The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, in this work, differently from the other works proposed in the litera...

(This article belongs to the Special Issue Evolutionary Algorithms in Engineering Design Optimization)
  • Article
  • Open Access
37 Citations
3,263 Views
18 Pages

Multi-Objective Constructal Optimization for Marine Condensers

  • Huijun Feng,
  • Wei Tang,
  • Lingen Chen,
  • Junchao Shi and
  • Zhixiang Wu

5 September 2021

A marine condenser with exhausted steam as the working fluid is researched in this paper. Constructal designs of the condenser are numerically conducted based on single and multi-objective optimizations, respectively. In the single objective optimiza...

(This article belongs to the Special Issue Enhancement of Heat Transfer in Power Plants)
  • Article
  • Open Access
3 Citations
2,710 Views
19 Pages

A Simple Proposal for Including Designer Preferences in Multi-Objective Optimization Problems

  • Xavier Blasco,
  • Gilberto Reynoso-Meza,
  • Enrique A. Sánchez-Pérez,
  • Juan Vicente Sánchez-Pérez and
  • Natalia Jonard-Pérez

28 April 2021

Including designer preferences in every phase of the resolution of a multi-objective optimization problem is a fundamental issue to achieve a good quality in the final solution. To consider preferences, the proposal of this paper is based on the defi...

(This article belongs to the Special Issue Evolutionary Algorithms in Engineering Design Optimization)
  • Article
  • Open Access
9 Citations
3,125 Views
13 Pages

Stochastic optimization approaches benefit from random variance to produce a solution in a reasonable time frame that is good enough for solving the problem. Compared with them, deterministic optimization methods feature faster convergence rates and...

(This article belongs to the Topic New Developments for Circuit Design: Synthesis, Modeling, Simulation, and Applications)
  • Review
  • Open Access
6 Citations
1,827 Views
32 Pages

A Review of Research on Multi-Objective Process Parameter Optimization Technology for Grinding Machining

  • Xiao Yang,
  • Zhaohui Deng,
  • Decai Zhu,
  • Rongjin Zhuo,
  • Xipeng Xu and
  • Wei Liu

The optimization of grinding is a multi-objective problem characterized by high dimensionality, non-linearity, and complexity. Solving this multi-objective optimization (MOO) problem is one of the most challenging tasks in the field of mechanical eng...

  • Article
  • Open Access
8 Citations
3,504 Views
14 Pages

By performing data analysis, statistical approaches are highly welcome to explore the data. Nowadays with the increases in computational power and the availability of big data in different domains, it is not enough to perform exploratory data analysi...

(This article belongs to the Special Issue Advances of Metaheuristic Computation)
  • Article
  • Open Access
20 Citations
5,145 Views
20 Pages

A Pareto-Based Hybrid Whale Optimization Algorithm with Tabu Search for Multi-Objective Optimization

  • Amr Mohamed AbdelAziz,
  • Taysir Hassan A. Soliman,
  • Kareem Kamal A. Ghany and
  • Adel Abu El-Magd Sewisy

4 December 2019

Multi-Objective Problems (MOPs) are common real-life problems that can be found in different fields, such as bioinformatics and scheduling. Pareto Optimization (PO) is a popular method for solving MOPs, which optimizes all objectives simultaneously....

  • Article
  • Open Access
43 Citations
5,188 Views
25 Pages

Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

  • Hao Chen,
  • Weikun Li,
  • Weicheng Cui,
  • Ping Yang and
  • Linke Chen

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary d...

(This article belongs to the Special Issue Simulation Based Maritime Design)
  • Article
  • Open Access
4 Citations
3,199 Views
25 Pages

Multi-Objective Automatic Clustering Algorithm Based on Evolutionary Multi-Tasking Optimization

  • Ying Wang,
  • Kelin Dang,
  • Rennong Yang,
  • Leyan Li,
  • Hao Li and
  • Maoguo Gong

Data mining technology is the process of extracting hidden knowledge and potentially useful information from a large number of incomplete, noisy, and random practical application data. The clustering algorithm based on multi-objective evolution has o...

(This article belongs to the Special Issue Object Detection, Segmentation and Categorization in Artificial Intelligence)
  • Article
  • Open Access
13 Citations
8,980 Views
19 Pages

20 April 2012

The work presents the approaches and software developed for multi-objective optimization of nuclear power structures: the modules for energy planning package MESSAGE intended for modeling purposes of developing nuclear power systems and multi-objecti...

(This article belongs to the Special Issue Sustainable Nuclear Energy)
  • Article
  • Open Access
19 Citations
4,414 Views
26 Pages

Multi-Objective Quantum-Inspired Seagull Optimization Algorithm

  • Yule Wang,
  • Wanliang Wang,
  • Ijaz Ahmad and
  • Elsayed Tag-Eldin

Objective solutions of multi-objective optimization problems (MOPs) are required to balance convergence and distribution to the Pareto front. This paper proposes a multi-objective quantum-inspired seagull optimization algorithm (MOQSOA) to optimize t...

(This article belongs to the Special Issue Intelligent Data Sensing, Processing, Mining, and Communication)
  • Article
  • Open Access
2 Citations
2,620 Views
24 Pages

29 May 2022

Traditional multi-objective evolutionary algorithms (MOEAs) consider multiple objectives as a whole when solving multi-objective optimization problems (MOPs). In this paper, the hybridization of garden balsam optimization (GBO) is presented to solve...

(This article belongs to the Special Issue Selected Papers from FCPAE2022 and 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM2022))
  • Article
  • Open Access
4 Citations
2,017 Views
25 Pages

Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm

  • Jorge Ramos-Frutos,
  • Angel Casas-Ordaz,
  • Saúl Zapotecas-Martínez,
  • Diego Oliva,
  • Arturo Valdivia-González,
  • Abel García-Nájera and
  • Marco Pérez-Cisneros

26 February 2025

Optimization techniques aim to identify optimal solutions for a given problem. In single-objective optimization, the best solution corresponds to the one that maximizes or minimizes the objective function. However, when dealing with multi-objective o...

(This article belongs to the Section E1: Mathematics and Computer Science)
  • Article
  • Open Access
15 Citations
4,813 Views
18 Pages

Multi-Objective Optimization of Production Objectives Based on Surrogate Model

  • Zuzana Červeňanská,
  • Janette Kotianová,
  • Pavel Važan,
  • Bohuslava Juhásová and
  • Martin Juhás

6 November 2020

The article addresses an approximate solution to the multi-objective optimization problem for a black-box function of a manufacturing system. We employ the surrogate of the discrete-event simulation model of a batch production system in an analytical...

(This article belongs to the Special Issue New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes: Volume II)
  • Editorial
  • Open Access
44 Citations
4,808 Views
6 Pages

Multi-Objective and Multi-Attribute Optimization for Sustainable Development Decision Aiding

  • Edmundas Kazimieras Zavadskas,
  • Jurgita Antucheviciene and
  • Samarjit Kar

31 May 2019

Optimization is considered as a decision-making process to get the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing obje...

(This article belongs to the Special Issue Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding)
  • Article
  • Open Access
56 Citations
9,357 Views
21 Pages

Clustering Analysis for the Pareto Optimal Front in Multi-Objective Optimization

  • Lilian Astrid Bejarano,
  • Helbert Eduardo Espitia and
  • Carlos Enrique Montenegro

Bio-inspired algorithms are a suitable alternative for solving multi-objective optimization problems. Among different proposals, a widely used approach is based on the Pareto front. In this document, a proposal is made for the analysis of the optimal...

  • Article
  • Open Access
3 Citations
2,593 Views
19 Pages

Multi-Objective ABC-NM Algorithm for Multi-Dimensional Combinatorial Optimization Problem

  • Muniyan Rajeswari,
  • Rajakumar Ramalingam,
  • Shakila Basheer,
  • Keerthi Samhitha Babu,
  • Mamoon Rashid and
  • Ramar Saranya

19 April 2023

This article addresses the problem of converting a single-objective combinatorial problem into a multi-objective one using the Pareto front approach. Although existing algorithms can identify the optimal solution in a multi-objective space, they fail...

(This article belongs to the Special Issue Advances in Combinatorial Optimization and Discrete Mathematics with Applications)
  • Article
  • Open Access
9 Citations
4,066 Views
16 Pages

Multi-Objective Optimization and Test of a Tractor Drive Motor

  • Mengnan Liu,
  • Yanying Li,
  • Sixia Zhao,
  • Bing Han,
  • Shenghui Lei and
  • Liyou Xu

The design objectives of the structural parameters of the tractor drive motor are diverse, and the constraints are complex. It is difficult to optimize the overall performance of the unit by using the empirical method and single-objective optimizatio...

(This article belongs to the Special Issue Design, Analysis and Optimization of Electrical Machines and Drives for Electric Vehicles)
  • Article
  • Open Access
18 Citations
4,423 Views
26 Pages

14 May 2020

Real-world problems such as scientific, engineering, mechanical, etc., are multi-objective optimization problems. In order to achieve an optimum solution to such problems, multi-objective optimization algorithms are used. A solution to a multi-object...

(This article belongs to the Collection Multi-Objective Optimization of Processes)
  • Article
  • Open Access
29 Citations
8,334 Views
17 Pages

Entropy Diversity in Multi-Objective Particle Swarm Optimization

  • Eduardo J. Solteiro Pires,
  • José A. Tenreiro Machado and
  • Paulo B. De Moura Oliveira

10 December 2013

Multi-objective particle swarm optimization (MOPSO) is a search algorithm based on social behavior. Most of the existing multi-objective particle swarm optimization schemes are based on Pareto optimality and aim to obtain a representative non-dominat...

(This article belongs to the Special Issue Dynamical Systems)
  • Article
  • Open Access
19 Citations
4,991 Views
15 Pages

12 July 2022

The multi-objective design optimization of water distribution systems (WDS) is to find the Pareto front of optimal designs of WDS for two or more conflicting design objectives. The most popular conflicting objectives considered for the design of WDS...

(This article belongs to the Section Urban Water Management)
  • Article
  • Open Access
561 Views
16 Pages

A Hybrid Multi-Objective Lemurs Optimizer-Backtracking Search Algorithm for Engineering Optimization Problems

  • Khadijetou Maaloum Din,
  • Rabii El Maani,
  • Ahmed Tchvagha Zeine and
  • Rachid Ellaia

Multi-objective optimization plays a fundamental role in solving complex engineering design problems characterized by conflicting objectives and nonlinear constraints. In this study, a novel hybrid optimization algorithm, named Multi-objective Lemurs...

(This article belongs to the Section Computational and Numerical Mathematics)
  • Article
  • Open Access
35 Citations
9,259 Views
21 Pages

18 December 2017

In this study, efficient global optimization (EGO) with a multi-fidelity hybrid surrogate model for multi-objective optimization is proposed to solve multi-objective real-world design problems. In the proposed approach, a design exploration is carrie...

(This article belongs to the Special Issue Soft Computing Techniques in Structural Engineering and Materials)
  • Feature Paper
  • Review
  • Open Access
55 Citations
13,216 Views
15 Pages

Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review

  • Sandra C. Cerda-Flores,
  • Arturo A. Rojas-Punzo and
  • Fabricio Nápoles-Rivera

10 January 2022

Industrial processes provide several of the products and services required for society. However, each industry faces different challenges from different perspectives, all of which must be reconciled to obtain profitable, productive, controllable, saf...

(This article belongs to the Special Issue Multi-Objective Optimization of Industrial Processes)
  • Article
  • Open Access
2 Citations
1,271 Views
18 Pages

Multi-Objective Sustainable Operational Optimization of Fluid Catalytic Cracking

  • Shibao Pang,
  • Yang Lin,
  • Hongxun Shi,
  • Rui Yin,
  • Ran Tao,
  • Donghong Li and
  • Chuankun Li

10 November 2025

Fluid Catalytic Cracking (FCC) constitutes a critical process in petroleum refining, facing increasing pressure to align with sustainable development goals by improving energy efficiency and reducing environmental impact. This study tackles a multi-o...

(This article belongs to the Topic Energy Consumption Analysis and Characterization of Complex Systems)
  • Article
  • Open Access
1 Citations
1,755 Views
22 Pages

Ship pipeline selection, as a crucial component of ship pipeline design, is often a time-consuming process due to its high complexity. In this study, the response surface methodology combined with the multi-objective particle swarm optimization algor...

(This article belongs to the Section Ocean Engineering)
  • Article
  • Open Access
5 Citations
3,832 Views
30 Pages

Modeling and Optimizing the Multi-Objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters

  • Alejandro Estrada-Padilla,
  • Daniela Lopez-Garcia,
  • Claudia Gómez-Santillán,
  • Héctor Joaquín Fraire-Huacuja,
  • Laura Cruz-Reyes,
  • Nelson Rangel-Valdez and
  • María Lucila Morales-Rodríguez

A common issue in the Multi-Objective Portfolio Optimization Problem (MOPOP) is the presence of uncertainty that affects individual decisions, e.g., variations on resources or benefits of projects. Fuzzy numbers are successful in dealing with impreci...

(This article belongs to the Special Issue Numerical and Evolutionary Optimization 2020)
  • Article
  • Open Access
12 Citations
2,540 Views
13 Pages

20 January 2023

Recently, optimization-based energy disaggregation (ED) algorithms have been gaining significance due to their capability to perform disaggregation with minimal information compared to the pattern-based ED algorithms, which demand large amounts of da...

(This article belongs to the Special Issue Mathematical Optimization and Evolutionary Algorithms with Applications)
  • Article
  • Open Access
10 Citations
2,880 Views
14 Pages

10 November 2020

Recent research has enabled the integration of traditional Volt-VAr Control (VVC) resources, such as capacitor banks and transformer tap changers, with Distributed Energy Resources (DERs), such as photo-voltaic sources and energy storage, in order to...

(This article belongs to the Section F: Electrical Engineering)
  • Article
  • Open Access
9 Citations
4,039 Views
20 Pages

27 July 2022

Sustainable development can be defined in terms of three main components: ecologically sustainable, economically sustainable, and socially sustainable. Conflicting objectives are involved in sustainable development issues, of which the economic, envi...

(This article belongs to the Section Economic and Business Aspects of Sustainability)
  • Article
  • Open Access
11 Citations
5,996 Views
23 Pages

Enhanced Multi-Objective Energy Optimization by a Signaling Method

  • João Soares,
  • Nuno Borges,
  • Zita Vale and
  • P.B. De Moura Oliveira

10 October 2016

In this paper three metaheuristics are used to solve a smart grid multi-objective energy management problem with conflictive design: how to maximize profits and minimize carbon dioxide (CO2) emissions, and the results compared. The metaheuristics imp...

(This article belongs to the Collection Smart Grid)
  • Article
  • Open Access
6 Citations
2,440 Views
33 Pages

5 November 2024

Multimodal multi-objective problems refer to situations where more than one Pareto set in the decision space corresponds to the same Pareto front in the objective space. In this paper, we propose a multimodal multi-objective coati optimization algori...

(This article belongs to the Section A: Computer Science)
  • Review
  • Open Access
65 Citations
8,835 Views
19 Pages

28 September 2020

Green infrastructure (GI) is a contemporary area of research worldwide, with the implementation of the findings alleviating issues globally. As a supplement and alternative to gray infrastructure, GI has multiple integrated benefits. Multi-objective...

(This article belongs to the Special Issue Urban Green and Blue Infrastructure: Current Issues, Challenges, and Opportunities)
  • Article
  • Open Access
18 Citations
5,047 Views
11 Pages

13 February 2017

This study aims to investigate multi-objective configuration optimization of a hybrid energy storage system (HESS). In order to maximize the stability of the wind power output with minimized HESS investment, a multi-objective model for optimal HESS c...

(This article belongs to the Section Energy Science and Technology)
  • Article
  • Open Access
9 Citations
2,776 Views
18 Pages

Optimization of Shearer Drum Based on Multi-Objective Bat Algorithm with Grid (MOBA/G)

  • Mingyu Duan,
  • Qibai Huang,
  • Ren Xu,
  • Chenlin Wang and
  • Jing Xu

26 August 2022

The shearer drum undertakes the main function of coal falling and loading, and picks distributed on it have a great impact on the performance of the drum. However, few studies have optimized the pick and drum at the same time. In this paper, paramete...

(This article belongs to the Topic Artificial Intelligence in Smart Industrial Diagnostics and Manufacturing)

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