A Comparison between Different Chess Rating Systems for Ranking Evolutionary Algorithms by Niki Veček, Marjan Mernik, Matej Črepinšek, Dejan Hrnčič

Get full text

Matching heterogeneous ontologies with adaptive evolutionary algorithm by Xingsi Xue, Haolin Wang, Xin Zhou, Guojun Mao, Hai Zhu

“…Then, an Adaptive Evolutionary Algorithm (AEA) is proposed to effectively solve this problem. …”
Get full text

Comparing Evolutionary Strategies on a Biobjective Cultural Algorithm by Carolina Lagos, Broderick Crawford, Enrique Cabrera, Ricardo Soto, José-Miguel Rubio, Fernando Paredes

“…Evolutionary algorithms have been widely used to solve large and complex optimisation problems. …”
Get full text

Using Different Approaches to Approximate a Pareto Front for a Multiobjective Evolutionary Algorithm: Optimal Thinning Regimes for Eucalyptus fastigata by Oliver Chikumbo

Get full text

Application of evolutionary algorithm in estimation of environmental performance in farm systems by Srđan Jović, Dalibor Radovanović, Dušan Marković

“…The importance of food security and sustainable production is undeniable therefore finding appropriate solutions to meet world's food requirements from one hand and environmental requirements from the other hand has become an interesting topic in the recent decades. Evolutionary algorithm (EA) can be employed in these problems because they can simultaneously focus on two or more objective functions. …”
Get full text

Overcoming Data Scarcity in Calibrating SUMO Scenarios With Evolutionary Algorithms by Jakob Kappenberger, Heiner Stuckenschmidt

Get full text

An Evolutionary Algorithm for Solving Academic Courses Timetable Scheduling Problem by Israa Abdulameer Abduljabbar, Sura Mahmood Abdullah

“…The Evolutionary Algorithm (EA) utilized in this paper is the Genetic Algorithm (GA) which is a common multi-solution metaheuristic search based on the evolutionary population that can be applied to solve complex combinatorial problems like timetabling problems. …”
Get full text

CNN Convolutional layer optimisation based on quantum evolutionary algorithm by Tzyy-Chyang Lu

Get full text

Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm by Xujian Wang, Fenggan Zhang, Minli Yao

“…Through comparison with nine algorithms on 27 test problems, DHEA is validated to be effective and competitive to deal with MaOPs with different types of Pareto fronts and stable on different numbers of objectives.…”
Get full text

Guided evolutionary game algorithm of unstructured P2P network by Guohui ZHU, Chunlan LU, Rui ZHANG

“…In order to promote the cooperation among the nodes which exist in dynamic and open peer-to-peer network,G-SLACER algorithm was provided by introducing pacesetter nodes.30% of network nodes were initialized to pacesetter nodes.In the process of topology reconstruction,a guided link to the most advantage node was added.To encourage studies between nodes,the payoff of the whole network was increased.The experimental results show that the G-SLACER algorithm has good generality for different sizes of networks,and it enhances the stability of CCP.Compared with other evolutionary game algorithms,cooperation state of P2P network formed by G-SLACER algorithm appears earlier and more stable.…”
Get full text

Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain by Jack Vice, Gita Sukthankar, Pamela K. Douglas

“…Inspired by biology, evolutionary algorithms (EA) remain an attractive solution for feasibly implementing robotic locomotion with both energetic economy and rapid parameter convergence. …”
Get full text

Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems by Yadong Yu, Haiping Ma, Mei Yu, Sengang Ye, Xiaolei Chen

“…Multipopulation is an effective optimization strategy which is often used in evolutionary algorithms (EAs) to improve optimization performance. …”
Get full text

EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game by LIU Yong, DENG Xiaohong, LIU Lihui, SHI Yiran, ZHANG Li

“…Aiming at the problems of low enthusiasm among voting nodes, bribery from malicious nodes, and the vulnerability of sequential block generation by agent nodes in the delegated proof of stake (DPoS) consensus process, an optimized DPoS consensus algorithm based on evolutionary game theory (EG-DPoS) is proposed. …”
Get full text

A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition by Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen, Zhong Ming

“…When compared to six competitive multiobjective evolutionary algorithms with different population selection or update strategies, the experiments validated the advantages of our approach on tackling two sets of test problems.…”
Get full text

A classifier-assisted evolutionary algorithm with knowledge transfer for expensive multitasking problems by Min Hu, Zhigang Ren, Zhirui Cao, Yifeng Guo, Haitao Sun, Hongyao Zhou, Yu Guo

“…Abstract Surrogate-assisted evolutionary algorithms provide an effective means for complex and computationally expensive optimization problems. …”
Get full text

An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration by J. L. Guardado, F. Rivas-Davalos, J. Torres, S. Maximov, E. Melgoza

“…The encoding scheme is based on the edge window decoder (EWD) technique, which was embedded in the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and the Nondominated Sorting Genetic Algorithm II (NSGA-II). …”
Get full text

Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…It employs the framework of multiobjective evolutionary algorithm based on decomposition to simultaneously optimize the modularity and normalized mutual information, which quantitatively measure the quality of the community partitions and temporal cost, respectively. …”
Get full text

Queueing modeling and optimization of hybrid electric vehicle infrastructures using evolutionary algorithms by Shreekant Varshney, Manthan Shah, Bhasuru Abhinaya Srinivas, Mayank Gupta, Kaibalya Prasad Panda

“…The novelty of the proposed research is to formulate the cost optimization problem and demonstrate optimal converging outcomes through an in-depth comparative investigation of multiple evolutionary algorithms, including the particle swarm optimization (PSO), cuckoo search (CS), grey wolf (GW), and honey badger (HB) optimizers. …”
Get full text

Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State by Itai Tzruia, Tomer Halperin, Moshe Sipper, Achiya Elyasaf

“…We present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine learning (ML) models, focusing on dynamic adaptation to the evolutionary state. …”
Get full text

A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting by Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen

“…The proposed algorithm simultaneously optimizes both hyperparameters and feature sets across six different ML models, ensuring enhanced accuracy and efficiency. …”
Get full text