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1,043 Results Found

  • Proceeding Paper
  • Open Access
2,088 Views
4 Pages

In this article, we propose the definition of specific mutation operators for testing Geographic Information Systems. We describe the process for applying the operators and generating mutants, and present a case study where these mutation operators a...

  • Article
  • Open Access
9 Citations
3,860 Views
20 Pages

24 July 2024

Differential evolution algorithm is a very powerful and recently proposed evolutionary algorithm. Generally, only a mutation operator and predefined parameter values of differential evolution algorithm are utilized to solve various optimization probl...

  • Article
  • Open Access
690 Views
30 Pages

Benchmarking Molecular Mutation Operators for Evolutionary Drug Design

  • Raúl Acosta Murillo,
  • Patricio Adrián Zapata-Morin and
  • José Carlos Ortiz-Bayliss

2 December 2025

This study investigates and compares different molecular mutation strategies to optimize their application as genetic algorithm operators in drug design. We evaluated five distinct mutation methods—Graph-Based Genetic Algorithm, Graph-Based Gen...

  • Article
  • Open Access
6 Citations
3,052 Views
29 Pages

An Experimental Study of Grouping Mutation Operators for the Unrelated Parallel-Machine Scheduling Problem

  • Octavio Ramos-Figueroa,
  • Marcela Quiroz-Castellanos,
  • Efrén Mezura-Montes and
  • Nicandro Cruz-Ramírez

The Grouping Genetic Algorithm (GGA) is an extension to the standard Genetic Algorithm that uses a group-based representation scheme and variation operators that work at the group-level. This metaheuristic is one of the most used to solve combinatori...

  • Article
  • Open Access
4 Citations
1,769 Views
25 Pages

Grouping Genetic Algorithms (GGAs) are among the most outstanding methods for solving NP-hard combinatorial optimization problems by efficiently grouping sets of items. Their performance depends on problem-specific heuristics and a balance between ex...

  • Article
  • Open Access
18 Citations
2,673 Views
20 Pages

16 December 2020

Prolonging the network lifetime is one of the fundamental requirements in wireless sensor networks (WSNs). Sensor node clustering is a very popular energy conservation strategy in WSNs, allowing to achieve energy efficiency, low latency, and scalabil...

  • Article
  • Open Access
6 Citations
1,905 Views
18 Pages

4 August 2023

The salp swarm algorithm imitates the swarm behavior of salps during navigation and hunting that has been proven the superiority of search for best solution. However, although it has sufficient global search ability, it is still worth paying attentio...

  • Article
  • Open Access
1,977 Views
33 Pages

4 September 2024

This paper presents a novel algorithm named Five-element Cycle Integrated Mutation Optimization (FECOIMO) for solving the Traveling Thief Problem (TTP). The algorithm introduces a five-element cycle structure that integrates various mutation operatio...

  • Article
  • Open Access
36 Citations
4,479 Views
24 Pages

8 June 2019

In recent years, growing peak pressure is posing a huge challenge for the operators of electrical power systems. As the most important clean renewable energy, hydropower is often advised as a response to the peak loads in China. Thus, a novel hybrid...

  • Article
  • Open Access
1 Citations
2,891 Views
17 Pages

TP53 Mutation-Specific Dysregulation of Store-Operated Calcium Entry and Apoptotic Sensitivity in Triple-Negative Breast Cancer

  • Kaneez E. Rabab,
  • Paul J. Buchanan,
  • Grace Colley,
  • Anita White,
  • Aisling Murphy,
  • Chloe McCormack and
  • Alex J. Eustace

10 May 2025

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen, progesterone, and HER2 receptors, and is associated with poor prognosis and limited targeted therapeutic options. TP53 mutations occur in the majority of TNBC...

  • Article
  • Open Access
40 Citations
2,500 Views
25 Pages

24 March 2023

During the contribution of a metaheuristic algorithm for solving complex problems, one of the major challenges is to obtain the one that provides a well-balanced exploration and exploitation. Among the possible solutions to overcome this issue is to...

  • Article
  • Open Access
1 Citations
2,158 Views
17 Pages

26 February 2025

We introduce BERT mutation, a novel, domain-independent mutation operator for Genetic Programming (GP) that leverages advanced Natural Language Processing (NLP) techniques to improve convergence, particularly using the Masked Language Modeling approa...

  • Article
  • Open Access
1,880 Views
19 Pages

Running-Time Analysis of Brain Storm Optimization Based on Average Gain Model

  • Guizhen Mai,
  • Fangqing Liu,
  • Yinghan Hong,
  • Dingrong Liu,
  • Junpeng Su,
  • Xiaowei Yang and
  • Han Huang

The brain storm optimization (BSO) algorithm has received increased attention in the field of evolutionary computation. While BSO has been applied in numerous industrial scenarios due to its effectiveness and accessibility, there are few theoretical...

  • Article
  • Open Access
2 Citations
1,331 Views
35 Pages

To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm...

  • Article
  • Open Access
10 Citations
3,130 Views
26 Pages

Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal

  • Yuedi Luo,
  • Xiaolei Liang,
  • Yu Zhang,
  • Kexin Tang and
  • Wenting Li

22 February 2024

In this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model with the aim of minimizing the total energy consumption during quay crane and IGV operation...

  • Review
  • Open Access
24 Citations
8,069 Views
17 Pages

Calcium Deregulation and Mitochondrial Bioenergetics in GDAP1-Related CMT Disease

  • Paloma González-Sánchez,
  • Jorgina Satrústegui,
  • Francesc Palau and
  • Araceli del Arco

The pathology of Charcot-Marie-Tooth (CMT), a disease arising from mutations in different genes, has been associated with an impairment of mitochondrial dynamics and axonal biology of mitochondria. Mutations in ganglioside-induced differentiation-ass...

  • Article
  • Open Access
9 Citations
2,281 Views
30 Pages

17 March 2023

The input layer, hidden layer, and output layer are three models of the neural processors that make up feedforward neural networks (FNNs). Evolutionary algorithms have been extensively employed in training FNNs, which can correctly actualize any fini...

  • Article
  • Open Access
97 Citations
6,000 Views
14 Pages

28 March 2019

The paper proposes a lossless quantum image encryption scheme based on substitution tables (S-box) scrambling, mutation operation and general Arnold transform with keys. First, the key generator builds upon the foundation of SHA-256 hash with plain-i...

  • Article
  • Open Access
9 Citations
4,162 Views
19 Pages

A Multimodal Improved Particle Swarm Optimization for High Dimensional Problems in Electromagnetic Devices

  • Rehan Ali Khan,
  • Shiyou Yang,
  • Shafiullah Khan,
  • Shah Fahad and
  • Kalimullah

20 December 2021

Particle Swarm Optimization (PSO) is a member of the swarm intelligence-based on a metaheuristic approach which is inspired by the natural deeds of bird flocking and fish schooling. In comparison to other traditional methods, the model of PSO is wide...

  • Article
  • Open Access
19 Citations
3,148 Views
20 Pages

27 May 2021

The artificial bee colony (ABC) algorithm is a prominent swarm intelligence technique due to its simple structure and effective performance. However, the ABC algorithm has a slow convergence rate when it is used to solve complex optimization problems...

  • Proceeding Paper
  • Open Access
942 Views
8 Pages

Efficient scheduling in materials manufacturing environment plays a crucial role in minimizing idle time, increasing throughput, and making better use of limited resources. This paper introduces a Genetic Algorithm enhanced with Guided Mutation (GA-G...

  • Article
  • Open Access
40 Citations
5,164 Views
14 Pages

7 November 2017

In order to improve the product disassembly efficiency, the disassembly line balancing problem (DLBP) is transformed into a problem of searching for the optimum path in the directed and weighted graph by constructing the disassembly hierarchy informa...

  • Article
  • Open Access
76 Citations
5,313 Views
21 Pages

Modified Mayfly Algorithm for UAV Path Planning

  • Xing Wang,
  • Jeng-Shyang Pan,
  • Qingyong Yang,
  • Lingping Kong,
  • Václav Snášel and
  • Shu-Chuan Chu

23 May 2022

The unmanned aerial vehicle (UAV) path planning problem is primarily concerned with avoiding collision with obstacles while determining the best flight path to the target position. This paper first establishes a cost function to transform the UAV rou...

  • Article
  • Open Access
7 Citations
3,094 Views
24 Pages

Boosted Reptile Search Algorithm for Engineering and Optimization Problems

  • Mohamed Abd Elaziz,
  • Samia Chelloug,
  • Mai Alduailij and
  • Mohammed A. A. Al-qaness

2 March 2023

Recently, various metaheuristic (MH) optimization algorithms have been presented and applied to solve complex engineering and optimization problems. One main category of MH algorithms is the naturally inspired swarm intelligence (SI) algorithms. SI m...

  • Article
  • Open Access
69 Citations
5,627 Views
19 Pages

18 December 2018

Since different incident waves will cause the same array to perform differently with respect to the wave energy converter (WEC), the parameters of the incident wave, including the incident angle and the incident wave number, are taken into account fo...

  • Article
  • Open Access
1 Citations
464 Views
21 Pages

27 November 2025

To address the problem of easily falling into local optimization and low convergence accuracy in the path planning tasks of mobile robots, an Improved Crested Porcupine Optimizer (ICPO) based on chaotic mapping is proposed. The ICPO algorithm employs...

  • Article
  • Open Access
2 Citations
2,241 Views
38 Pages

In this paper, a multi-strategy fusion enhanced Honey Badger algorithm (EHBA) is proposed to address the problem of easy convergence to local optima and difficulty in achieving fast convergence in the Honey Badger algorithm (HBA). The adoption of a d...

  • Article
  • Open Access
24 Citations
3,635 Views
22 Pages

11 October 2019

The automatic train operation (ATO) system of urban rail trains includes a two-layer control structure: upper-layer control and lower-layer control. The upper-layer control is to optimize the target speed curve of ATO, and the lower-layer control is...

  • Article
  • Open Access
1 Citations
1,780 Views
31 Pages

24 September 2024

An infinite impulse response (IIR) system might comprise a multimodal error surface and accurately discovering the appropriate filter parameters for system modeling remains complicated. The swarm intelligence algorithms facilitate the IIR filter&rsqu...

  • Article
  • Open Access
76 Citations
5,211 Views
16 Pages

Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm

  • Tianhua Jiang,
  • Chao Zhang,
  • Huiqi Zhu,
  • Jiuchun Gu and
  • Guanlong Deng

28 October 2018

Under the current environmental pressure, many manufacturing enterprises are urged or forced to adopt effective energy-saving measures. However, environmental metrics, such as energy consumption and CO2 emission, are seldom considered in the traditio...

  • Article
  • Open Access
5 Citations
5,057 Views
19 Pages

10 March 2025

The university course scheduling problem (UCSP) is a challenging combinatorial optimization problem that requires optimization of the quality of the schedule and resource utilization while meeting multiple constraints involving courses, teachers, stu...

  • Article
  • Open Access
2 Citations
3,641 Views
18 Pages

Difference-Based Mutation Operation for Neuroevolution of Augmented Topologies

  • Vladimir Stanovov,
  • Shakhnaz Akhmedova and
  • Eugene Semenkin

21 April 2021

In this paper, a novel search operation is proposed for the neuroevolution of augmented topologies, namely the difference-based mutation. This operator uses the differences between individuals in the population to perform more efficient search for op...

  • Article
  • Open Access
2 Citations
1,251 Views
26 Pages

29 August 2024

Time-of-use pricing of electric energy, as an important part of the national policy of energy conservation and emission reduction, requires accurate electric energy data as support. However, due to various reasons, the electric energy data are often...

  • Article
  • Open Access
18 Citations
3,597 Views
27 Pages

7 July 2023

The application of 3D UAV path planning algorithms in smart cities and smart buildings can improve logistics efficiency, enhance emergency response capabilities as well as provide services such as indoor navigation, thus bringing more convenience and...

  • Article
  • Open Access
819 Views
47 Pages

A Multi-Strategy Improved Zebra Optimization Algorithm for AGV Path Planning

  • Cunji Zhang,
  • Chuangeng Chen,
  • Jiaqi Lu,
  • Xuan Jing and
  • Wei Liu

The Zebra Optimization Algorithm (ZOA) is a metaheuristic algorithm inspired by the collective behavior of zebras in the wild. Like many other swarm intelligence algorithms, the ZOA faces several limitations, including slow convergence, susceptibilit...

  • Article
  • Open Access
4 Citations
3,843 Views
11 Pages

PIK3CA Mutations and Co-Mutations in Operated Non-Small Cell Lung Carcinoma

  • Salih Cokpinar,
  • Ibrahim Halil Erdogdu,
  • Seda Orenay-Boyacioglu,
  • Olcay Boyacioglu,
  • Nesibe Kahraman-Cetin and
  • Ibrahim Meteoglu

8 December 2024

Background: Understanding PIK3CA mutations and co-mutations in non-small cell lung carcinoma (NSCLC) is critical to developing personalized treatment strategies. Therefore, this study aims to investigate PIK3CA mutations and the accompanying somatic...

  • Article
  • Open Access
35 Citations
6,669 Views
18 Pages

24 February 2017

The endmember extraction algorithm, which selects a collection of pure signature spectra for different materials, plays an important role in hyperspectral unmixing. In this paper, the endmember extraction algorithm is described as a combinatorial opt...

  • Article
  • Open Access
15 Citations
4,022 Views
28 Pages

29 September 2019

In this research, a novel enhanced gravitational search algorithm (EGSA) is proposed to resolve the multi-objective optimization model, considering the power generation of a hydropower enterprise and the peak operation requirement of a power system....

  • Article
  • Open Access
5 Citations
3,524 Views
14 Pages

Targeted Next-Generation Sequencing Analysis Predicts the Recurrence in Resected Lung Adenocarcinoma Harboring EGFR Mutations

  • In Ae Kim,
  • Jae Young Hur,
  • Hee Joung Kim,
  • Song Am Lee,
  • Jae Joon Hwang,
  • Wan Seop Kim and
  • Kye Young Lee

20 July 2021

Targeted NGS, widely applied to identify driver oncogenes in advanced lung adenocarcinoma, may also be applied to resected early stage cancers. We investigated resected EGFR-mutated lung adenocarcinoma mutation profiles to evaluate prognostic impacts...

  • Article
  • Open Access
8 Citations
2,809 Views
59 Pages

Improved Hybrid Firefly Algorithm with Probability Attraction Model

  • Jin-Ling Bei,
  • Ming-Xin Zhang,
  • Ji-Quan Wang,
  • Hao-Hao Song and
  • Hong-Yu Zhang

11 January 2023

An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve the problems of low computational efficiency and low computational accuracy in solving complex optimization problems. First, the method of square-roo...

  • Article
  • Open Access
20 Citations
4,465 Views
22 Pages

17 February 2023

To compensate the incapability of traditional cable force adjustment methods to automatically optimize cable forces, this paper proposes Midas/Civil and MATLAB as a structure calculator and a cable force optimizer, and external memory as a data trans...

  • Article
  • Open Access
11 Citations
4,309 Views
10 Pages

Detection of CTNNB1 Hotspot Mutations in Cell-Free DNA from the Urine of Hepatocellular Carcinoma Patients

  • Selena Y. Lin,
  • Ting-Tsung Chang,
  • Jamin D. Steffen,
  • Sitong Chen,
  • Surbhi Jain,
  • Wei Song,
  • Yih-Jyh Lin and
  • Ying-Hsiu Su

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. The beta-catenin gene, CTNNB1, is among the most frequently mutated in HCC tissues. However, mutational analysis of HCC tumors is hampered by the difficulty of obta...

  • Article
  • Open Access
1,544 Views
17 Pages

Dynamic Evaluation Method for Mutation Degree of Passenger Flow in Urban Rail Transit

  • Ting Chen,
  • Jianxiao Ma,
  • Shuang Li,
  • Zhenjun Zhu and
  • Xiucheng Guo

9 November 2023

When urban rail transit is affected by interference, the fluctuation pattern of passenger flow undergoes mutation, which is not conducive to its operational safety and sustainable development. The more intense the mutation in the passenger flow, the...

  • Article
  • Open Access
10 Citations
2,428 Views
21 Pages

To address the issues with traditional genetic algorithm (GA) path planning, which often results in redundant path nodes and local optima, we propose an Improved Genetic Algorithm that incorporates an ant colony algorithm (ACO). Firstly, a new popula...

  • Article
  • Open Access
572 Citations
63,637 Views
36 Pages

Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach

  • Ahmad Hassanat,
  • Khalid Almohammadi,
  • Esra’a Alkafaween,
  • Eman Abunawas,
  • Awni Hammouri and
  • V. B. Surya Prasath

10 December 2019

Genetic algorithm (GA) is an artificial intelligence search method that uses the process of evolution and natural selection theory and is under the umbrella of evolutionary computing algorithm. It is an efficient tool for solving optimization problem...

  • Article
  • Open Access
2 Citations
1,675 Views
19 Pages

Aiming at the problem that the previous flexible machine network integrated scheduling algorithm only considers positive sequence scheduling, which leads to the extension of product completion time, a reverse-order machine network integrated scheduli...

  • Article
  • Open Access
7 Citations
3,818 Views
26 Pages

29 May 2022

Evolutionary algorithms solve problems by simulating the evolution of a population of candidate solutions. We focus on evolving permutations for ordering problems such as the traveling salesperson problem (TSP), as well as assignment problems such as...

  • Article
  • Open Access
7 Citations
5,094 Views
15 Pages

Prognostic Impact of TP53 Mutations and Tumor Mutational Load in Colorectal Cancer

  • Vincent Ho,
  • Liping Chung,
  • Stephanie H. Lim,
  • Yafeng Ma,
  • Bin Wang,
  • Vivienne Lea,
  • Askar Abubakar,
  • Weng Ng,
  • Mark Lee and
  • C. Soon Lee
  • + 2 authors

The DNA damage response (DDR) is critical for maintaining genome stability, and abnormal DDR—resulting from mutations in DNA damage-sensing and repair proteins—is a hallmark of cancer. Here, we aimed to investigate the predictive power of...

  • Article
  • Open Access
1 Citations
2,641 Views
20 Pages

Mutation Analysis in Regulator DNA-Binding Regions for Antimicrobial Efflux Pumps in 17,000 Pseudomonas aeruginosa Genomes

  • María Pérez-Vázquez,
  • Carla López-Causapé,
  • Andrés Corral-Lugo,
  • Michael J. McConnell,
  • Jesús Oteo-Iglesias,
  • Antonio Oliver and
  • Antonio J. Martín-Galiano

Mutations leading to upregulation of efflux pumps can produce multiple drug resistance in the pathogen Pseudomonas aeruginosa. Changes in their DNA binding regions, i.e., palindromic operators, can compromise pump depression and subsequently enhance...

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