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123 Results Found

  • Article
  • Open Access
15 Citations
8,370 Views
15 Pages

30 September 2017

Many approaches that model specific intelligent behaviors perform excellently in solving complex optimization problems. Game theory is widely recognized as an important tool in many fields. This paper introduces a game theory-inspired evolutionary al...

  • Article
  • Open Access
2 Citations
10,141 Views
23 Pages

A cryptocurrency is a non-centralized form of money that facilitates financial transactions using cryptographic processes. It can be thought of as a virtual currency or a payment mechanism for sending and receiving money online. Cryptocurrencies have...

  • Article
  • Open Access
38 Citations
6,042 Views
27 Pages

A Novel Genetic Algorithm for the Synthetical Sensor-Weapon-Target Assignment Problem

  • Xiaoyang Li,
  • Deyun Zhou,
  • Zhen Yang,
  • Qian Pan and
  • Jichuan Huang

11 September 2019

The sensor-weapon–target assignment (S-WTA) problem is a crucial decision issue in C4ISR. The cooperative engagement capability (CEC) of sensors and weapons depends on the S-WTA schemes, which can greatly affect the operational effectiveness. I...

  • Article
  • Open Access
23 Citations
4,506 Views
26 Pages

11 March 2019

Firefly-Algorithm (FA) is an eminent nature-inspired swarm-based technique for solving numerous real world global optimization problems. This paper presents an overview of the constraint handling techniques. It also includes a hybrid algorithm, namel...

  • Article
  • Open Access
2 Citations
2,979 Views
18 Pages

6 November 2024

This paper introduces a novel approach for modeling and optimizing the trajectory and behavior of small solid rocket missiles. The proposed framework integrates a six-degree-of-freedom (6DoF) simulation environment experimentally tuned for accuracy,...

  • Article
  • Open Access
5 Citations
2,910 Views
19 Pages

The Internet Shopping Optimization Problem with Multiple Item Units (ISHOP-U): Formulation, Instances, NP-Completeness, and Evolutionary Optimization

  • Fernando Ornelas,
  • Alejandro Santiago,
  • Salvador Ibarra Martínez,
  • Mirna Patricia Ponce-Flores,
  • Jesús David Terán-Villanueva,
  • Fausto Balderas,
  • José Antonio Castán Rocha,
  • Alejandro H. García,
  • Julio Laria-Menchaca and
  • Mayra Guadalupe Treviño-Berrones

19 July 2022

In this work, we investigate the variant of the Internet Shopping Optimization Problem (ISHOP) that considers different item units. This variant is more challenging than the original problem. The original ISHOP is already known as a combinatorial NP-...

  • Article
  • Open Access
14 Citations
7,378 Views
19 Pages

Quantitative Trait Loci Mapping Problem: An Extinction-Based Multi-Objective Evolutionary Algorithm Approach

  • Ahmadreza Ghaffarizadeh,
  • Mehdi Eftekhari,
  • Ali K. Esmailizadeh and
  • Nicholas S. Flann

2 September 2013

The Quantitative Trait Loci (QTL) mapping problem aims to identify regions in the genome that are linked to phenotypic features of the developed organism that vary in degree. It is a principle step in determining targets for further genetic analysis...

  • Article
  • Open Access
13 Citations
3,044 Views
34 Pages

20 February 2021

Due to the complexity of many-objective optimization problems, the existing many-objective optimization algorithms cannot solve all the problems well, especially those with complex Pareto front. In order to solve the shortcomings of existing algorith...

  • Article
  • Open Access
15 Citations
3,264 Views
22 Pages

8 August 2023

Satellite imaging mission planning is used to optimize satellites to obtain target images efficiently. Many evolutionary algorithms (EAs) have been proposed for satellite mission planning. EAs typically require evolutionary parameters, such as the cr...

  • Article
  • Open Access
1,873 Views
13 Pages

Set Packing Optimization by Evolutionary Algorithms with Theoretical Guarantees

  • Youzhen Jin,
  • Xiaoyun Xia,
  • Zijia Wang,
  • Xue Peng,
  • Jun Zhang and
  • Weizhi Liao

27 September 2024

The set packing problem is a core NP-complete combinatorial optimization problem which aims to find the maximum collection of disjoint sets from a given collection of sets, S, over a ground set, U. Evolutionary algorithms (EAs) have been widely used...

  • Article
  • Open Access
10 Citations
3,677 Views
11 Pages

29 September 2017

Cluster structure optimization (CSO) refers to finding the globally minimal cluster structure with respect to a specific model and quality criterion, and is a computationally extraordinarily hard problem. Here we report a successful hybridization of...

  • Article
  • Open Access
3 Citations
2,666 Views
12 Pages

17 September 2022

This paper proposes a quantum-inspired evolutionary algorithm (QiEA) to solve an optimal service-matching task-assignment problem. Our proposed algorithm comes with the advantage of generating always feasible population individuals and, thus, elimina...

  • Article
  • Open Access
2,369 Views
21 Pages

An Evolutionary Algorithm for Efficient Flexible Workstation Layout in Multi-Product Handcrafted Manufacturing

  • Eduardo Fernández-Echeverría,
  • Gregorio Fernández-Lambert,
  • Luis Enrique García-Santamaría,
  • Loecelia Ruvalcaba-Sánchez,
  • Roberto Angel Melendez-Armenta,
  • Juan Manuel Carrión-Delgado and
  • José Aparicio-Urbano

5 May 2025

This study proposes an Evolutionary Algorithm (EA) to optimize the workstation layout in multi-product handcrafted furniture workshops with simultaneous manufacturing. The algorithm models the arrangement of workstations within a limited space, enhan...

  • Article
  • Open Access
4 Citations
3,756 Views
28 Pages

Evolutionary Algorithms Enhanced with Quadratic Coding and Sensing Search for Global Optimization

  • Abdel-Rahman Hedar,
  • Wael Deabes,
  • Majid Almaraashi and
  • Hesham H. Amin

Enhancing Evolutionary Algorithms (EAs) using mathematical elements significantly contribute to their development and control the randomness they are experiencing. Moreover, the automation of the primary process steps of EAs is still one of the harde...

  • Systematic Review
  • Open Access
5 Citations
7,468 Views
33 Pages

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

  • Yuanguo Lin,
  • Fan Lin,
  • Guorong Cai,
  • Hong Chen,
  • Linxin Zou,
  • Yunxuan Liu and
  • Pengcheng Wu

2 March 2025

In response to the limitations of reinforcement learning and Evolutionary Algorithms (EAs) in complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a synergistic solution. This systematic review aims to provide a compreh...

  • Article
  • Open Access
10 Citations
3,355 Views
25 Pages

4 March 2019

Properly configuring Evolutionary Algorithms (EAs) is a challenging task made difficult by many different details that affect EAs’ performance, such as the properties of the fitness function, time and computational constraints, and many others....

  • Article
  • Open Access
23 Citations
3,433 Views
25 Pages

Long Term Memory Assistance for Evolutionary Algorithms

  • Matej Črepinšek,
  • Shih-Hsi Liu,
  • Marjan Mernik and
  • Miha Ravber

18 November 2019

Short term memory that records the current population has been an inherent component of Evolutionary Algorithms (EAs). As hardware technologies advance currently, inexpensive memory with massive capacities could become a performance boost to EAs. Thi...

  • Article
  • Open Access
3 Citations
2,101 Views
20 Pages

5 September 2022

Ontology is the kernel technique of the Semantic Web (SW), which models the domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, the cutting-edge technology is to determine the heterogeneo...

  • Article
  • Open Access
1,793 Views
21 Pages

A Tool for Control Research Using Evolutionary Algorithm That Generates Controllers with a Pre-Specified Morphology

  • Francisco-David Hernandez,
  • Domingo Cortes,
  • Marco Antonio Ramirez-Salinas and
  • Luis Alfonso Villa-Vargas

8 July 2023

In control research and design it is frequently necessary to explore, evaluate, tune and compare many control strategies. These activities are assisted by software tools of increasing complexity; however, even with the existing high performance tools...

  • Feature Paper
  • Article
  • Open Access
4 Citations
3,195 Views
18 Pages

Differential Evolution in Waveform Design for Wireless Power Transfer

  • Pavlos Doanis,
  • Achilles D. Boursianis,
  • Julien Huillery,
  • Arnaud Bréard,
  • Yvan Duroc and
  • Sotirios K. Goudos

4 August 2020

The technique of transmitting multi-tone signals in a radiative Wireless Power Transfer (WPT) system can significantly increase its end-to-end power efficiency. The optimization problem in this system is to tune the transmission according to the rece...

  • Feature Paper
  • Article
  • Open Access
3 Citations
883 Views
25 Pages

Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids

  • Alessandro Niccolai,
  • Silvia Trimarchi,
  • Lisa Francesca Barbazza,
  • Alessandro Gandelli,
  • Riccardo Zich,
  • Francesco Grimaccia and
  • Sonia Leva

7 May 2025

The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. Their Energy Management Systems (EMSs) can be...

  • Article
  • Open Access
12 Citations
3,936 Views
14 Pages

3 March 2020

Over the past few decades, various evolutionary algorithms (EAs) have been applied to the optimization design of water distribution systems (WDSs). An important research area is to compare the performance of these EAs, thereby offering guidance for t...

  • Article
  • Open Access
1,445 Views
17 Pages

Numerical Investigation and Design Curves for Thinned Planar Antenna Arrays for 5G and 6G

  • Daniele Pinchera,
  • Fulvio Schettino,
  • Mario Lucido,
  • Gaetano Chirico and
  • Marco Donald Migliore

28 November 2024

We numerically investigate the relationship between the main parameters of thinned antenna arrays using a specifically designed evolutionary algorithm, the Multi-Objective Pareto Evolution for Thinning (MOPET). We provide some useful results that all...

  • Article
  • Open Access
8 Citations
4,060 Views
23 Pages

28 September 2019

Competitive optimization techniques have been developed to address the complexity of integrated water resources management (IWRM) modelling; however, model adaptation due to changing environments is still a challenge. In this paper we employ multi-va...

  • Article
  • Open Access
1 Citations
2,619 Views
9 Pages

Optimization of Monolayer MoS2 with Prescribed Mechanical Properties

  • Wacław Kuś,
  • Mohammed Javeed Akhter and
  • Tadeusz Burczyński

12 April 2022

Various technological challenges are essentially material problems in our times. New functional and functional graded nanomaterials are constructed of components with predefined properties. The design of nanostructures with predefined mechanical prop...

  • Article
  • Open Access
17 Citations
4,847 Views
18 Pages

11 October 2022

In this article, we present a distributed robot 3D formation system optimally parameterised by a hybrid evolutionary algorithm (EA) in order to improve its efficiency and robustness. To achieve that, we first describe the novel distributed formation...

  • Article
  • Open Access
7 Citations
2,949 Views
24 Pages

22 February 2024

Distributed hydrological models based on shallow water equations have gained popularity in recent years for the simulation of storm events, due to their robust and physically based routing of surface runoff through the whole catchment, including hill...

  • Article
  • Open Access
4 Citations
6,452 Views
15 Pages

20 August 2017

This paper investigates how to efficiently charge sensor nodes in a wireless rechargeable sensor network (WRSN) with radio frequency (RF) chargers to make the network sustainable. An RF charger is assumed to be equipped with a uniform circular array...

  • Article
  • Open Access
9 Citations
3,083 Views
19 Pages

When an optimal control problem requires an important computational effort, a metaheuristic algorithm (MA) can be a useful approach. An MA is conceived to solve a specific optimal control problem having a characteristic objective function. This algor...

  • Article
  • Open Access
9 Citations
2,506 Views
15 Pages

Firefly-Based Approaches of Image Recognition

  • Catalina-Lucia Cocianu,
  • Alexandru Daniel Stan and
  • Mihai Avramescu

28 May 2020

The main aim of the reported work is to solve the registration problem for recognition purposes. We introduce two new evolutionary algorithms (EA) consisting of population-based search methods, followed by or combined with a local search scheme. We u...

  • Article
  • Open Access
6 Citations
8,033 Views
18 Pages

EA/G-GA for Single Machine Scheduling Problems with Earliness/Tardiness Costs

  • Shih-Hsin Chen,
  • Min-Chih Chen,
  • Pei-Chann Chang and
  • Yuh-Min Chen

14 June 2011

An Estimation of Distribution Algorithm (EDA), which depends on explicitly sampling mechanisms based on probabilistic models with information extracted from the parental solutions to generate new solutions, has constituted one of the major research a...

  • Article
  • Open Access
6 Citations
2,789 Views
25 Pages

Cyber Firefly Algorithm Based on Adaptive Memory Programming for Global Optimization

  • Peng-Yeng Yin,
  • Po-Yen Chen,
  • Ying-Chieh Wei and
  • Rong-Fuh Day

15 December 2020

Recently, two evolutionary algorithms (EAs), the glowworm swarm optimization (GSO) and the firefly algorithm (FA), have been proposed. The two algorithms were inspired by the bioluminescence process that enables the light-mediated swarming behavior f...

  • Article
  • Open Access
21 Citations
6,802 Views
24 Pages

10 September 2018

Facility layout problem (FLP) is one of the hottest research areas in industrial engineering. A good facility layout can achieve efficient production management, improve production efficiency, and create high economic values. Because FLP is an NP-har...

  • Article
  • Open Access
23 Citations
6,190 Views
20 Pages

Community Detection Based on Differential Evolution Using Social Spider Optimization

  • You-Hong Li,
  • Jian-Qiang Wang,
  • Xue-Jun Wang,
  • Yue-Long Zhao,
  • Xing-Hua Lu and
  • Da-Long Liu

6 September 2017

Community detection (CD) has become an important research direction for data mining in complex networks. Evolutionary algorithm-based (EA-based) approaches, among many other existing community detection methods, are widely used. However, EA-based app...

  • Article
  • Open Access
10 Citations
4,638 Views
21 Pages

28 January 2022

The closed-loop optimal control systems using the receding horizon control (RHC) structure make predictions based on a process model (PM) to calculate the current control output. In many applications, the optimal prediction over the current predictio...

  • Article
  • Open Access
2 Citations
1,698 Views
27 Pages

6 January 2024

Using metaheuristics such as the Evolutionary Algorithm (EA) within control structures is a realistic approach for certain optimal control problems. They often predict the optimal control values over a prediction horizon using a process model (PM). T...

  • Article
  • Open Access
2 Citations
1,966 Views
23 Pages

20 January 2023

In this paper, the behavior and performance of Pure Random Orthogonal Search (PROS), a parameter-free evolutionary algorithm (EA) that outperforms many existing EAs on the well-known benchmark functions with finite-time budget, are analyzed. The suff...

  • Article
  • Open Access
8 Citations
4,472 Views
13 Pages

25 October 2022

The gating and riser system design is essential for both quality and cost in large-scale casting and is expected to reach several objectives simultaneously. However, even with the help of commercial simulation software, the design of gating and riser...

  • Article
  • Open Access
4 Citations
4,438 Views
16 Pages

An Effective Hybrid Metaheuristic Approach Based on the Genetic Algorithm

  • Olympia Roeva,
  • Dafina Zoteva,
  • Gergana Roeva,
  • Maya Ignatova and
  • Velislava Lyubenova

2 December 2024

This paper presents an effective hybrid metaheuristic algorithm combining the genetic algorithm (GA) and a simple algorithm based on evolutionary computation. The evolutionary approach (EA) is applied to form the initial population of the GA, thus im...

  • Article
  • Open Access
4 Citations
3,369 Views
37 Pages

27 April 2020

Variable Mesh Optimization with Niching (VMO-N) is a framework for multimodal problems (those with multiple optima at several search subspaces). Its only two instances are restricted though. Being a potent multimodal optimizer, the Hill-Valley Evolut...

  • Article
  • Open Access
25 Citations
5,018 Views
26 Pages

UAV Path Planning Based on Multi-Stage Constraint Optimization

  • Yong Shen,
  • Yunlou Zhu,
  • Hongwei Kang,
  • Xingping Sun,
  • Qingyi Chen and
  • Da Wang

6 December 2021

Evolutionary Algorithms (EAs) based Unmanned Aerial Vehicle (UAV) path planners have been extensively studied for their effectiveness and high concurrency. However, when there are many obstacles, the path can easily violate constraints during the evo...

  • Article
  • Open Access
20 Citations
5,041 Views
15 Pages

ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization

  • Fauzia Talpur,
  • Imtiaz Ali Korejo,
  • Aftab Ahmed Chandio,
  • Ali Ghulam and
  • Mir. Sajjad Hussain Talpur

5 March 2024

The escalating reliance of modern society on information and communication technology has rendered it vulnerable to an array of cyber-attacks, with distributed denial-of-service (DDoS) attacks emerging as one of the most prevalent threats. This paper...

  • Article
  • Open Access
5 Citations
3,843 Views
17 Pages

A Peer-to-Peer Energy Trading Model for Optimizing Both Efficiency and Fairness

  • Eiichi Kusatake,
  • Mitsue Imahori and
  • Norihiko Shinomiya

20 July 2023

In recent years, there has been a growing global trend towards transitioning from centralized energy systems to distributed or decentralized models, with the aim of promoting the widespread utilization of renewable energy sources. As a result, the co...

  • Article
  • Open Access
9 Citations
6,295 Views
15 Pages

An Intelligent Content Prefix Classification Approach for Quality of Service Optimization in Information-Centric Networking

  • Cutifa Safitri,
  • Yoshihide Yamada,
  • Sabariah Baharun,
  • Shidrokh Goudarzi,
  • Quang Ngoc Nguyen,
  • Keping Yu and
  • Takuro Sato

This research proposes an intelligent classification framework for quality of service (QoS) performance improvement in information-centric networking (ICN). The proposal works towards keyword classification techniques to obtain the most valuable info...

  • Article
  • Open Access
6 Citations
2,815 Views
13 Pages

Shaped-Beam Reflectarray Design by Means of Social Network Optimization (SNO)

  • Michele Beccaria,
  • Alessandro Niccolai,
  • Riccardo E. Zich and
  • Paola Pirinoli

In this work, an innovative approach for the design of a shaped-beam reflectarray (RA) is presented. It is based on the use of a novel evolutionary algorithm (EA), named Social Network Optimization (SNO), that presents good capabilities in terms of c...

  • Article
  • Open Access
1 Citations
1,918 Views
16 Pages

Unified Evolutionary Algorithm Framework for Hybrid Power Converter

  • Samira Ghorbanpour,
  • Mingyu Seo,
  • Jeong-Ju Park,
  • Musu Kim,
  • Yuwei Jin and
  • Sekyung Han

5 November 2022

A significant amount of the literature is focused on converters that supply the required voltage with low input-current ripple to electronic devices. A hybrid converter that combines boost and Cuk converters was developed recently. This hybrid conver...

  • Article
  • Open Access
5 Citations
1,971 Views
29 Pages

The general motivation of our work is to meet the main time constraint when implementing a control loop: the Controller’s execution time is less than the sampling period. This paper proposes a practical method to diminish the computational comp...

  • Article
  • Open Access
6 Citations
4,490 Views
48 Pages

19 January 2021

Manual generation of test cases and scenario screening processes, during field architecture concept development, may produce a limited number of solutions that do not necessarily lead to an optimal concept selection. For more complex subsea field arc...

  • Feature Paper
  • Article
  • Open Access
14 Citations
2,685 Views
17 Pages

22 September 2022

Identification of elastic and plastic properties of materials from indentation tests received considerable attention in the open literature. However, unambiguous and automatic determination of parameters in the case of the crystal plasticity (CP) mod...

  • Article
  • Open Access
14 Citations
4,965 Views
14 Pages

11 April 2019

A Java-based platform, MoleGear, is developed for de novo molecular design based on the chemistry development kit (CDK) and other Java packages. MoleGear uses evolutionary algorithm (EA) to explore chemical space, and a suite of fragment-based operat...

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