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

“…Here, we leveraged this class of algorithms to evolve a stable hexapod gait controller capable of traversing uneven terrain and obstacles. …”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…In order to effectively extract the parameters of photovoltaic modules, this paper proposes a hybrid algorithm combining analytical methods and differential evolution algorithms for the extraction parameters of PV module. …”
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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem by Juan Wang, Guanghui Zhang, Xiaoling Li, Yanxiang Feng

“…After the cooperative co-evolution, all individuals with different identities are merged as a population again, and their identities are dynamically adjusted by new evaluation. …”
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Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm by Guo Zhao, Xueliang Huang, Hao Qiang

“…By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. …”
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Comparative Study of Swarm-Based Algorithms for Location-Allocation Optimization of Express Depots by Yong-Wei Zhang, Qin Xiao, Xue-Ying Sun, Liang Qi

“…The proposed encoding scheme is verified on particle swarm optimization, differential evolution, artificial bee colony, and powerful differential evolution variant, and the performances are compared to those of the traditional encoding scheme. …”
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Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm by Kerim Guney, Ali Durmus

“…The results obtained by BSA are compared with the results of the following seventeen algorithms: particle swarm optimization (PSO), genetic algorithm (GA), modified touring ant colony algorithm (MTACO), quadratic programming method (QPM), bacterial foraging algorithm (BFA), bees algorithm (BA), clonal selection algorithm (CLONALG), plant growth simulation algorithm (PGSA), tabu search algorithm (TSA), memetic algorithm (MA), nondominated sorting GA-2 (NSGA-2), multiobjective differential evolution (MODE), decomposition with differential evolution (MOEA/D-DE), comprehensive learning PSO (CLPSO), harmony search algorithm (HSA), seeker optimization algorithm (SOA), and mean variance mapping optimization (MVMO). …”
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Simulating Co-Evolution and Knowledge Transfer in Logistic Clusters Using a Multi-Agent-Based Approach by Aitor Salas-Peña, Juan Carlos García-Palomares

“…The model enables the evolution of the network, leading to more complex collaborative structures. …”
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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 hybrid MO evolutionary algorithm integrates elements of genetic algorithms and self-adapted differential evolution. …”
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Discrete Element Simulations of Damage Evolution of NiAl-Based Material Reconstructed by Micro-CT Imaging by Arnas Kačeniauskas, Ruslan Pacevič, Eugeniuš Stupak, Jerzy Rojek, Marcin Chmielewski, Agnieszka Grabias, Szymon Nosewicz

“…Discrete element simulations based on micro-CT imaging revealed a realistic representation of the damage evolution and stress–strain dependency. The stress and strain of the numerically obtained curve peak differed from the experimentally measured values by 0.1% and 4.2%, respectively. …”
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New Courteous Algorithm for Uplink Scheduling in LTE-Advanced and 5G Networks by Chafika Tata, Nassima Fellag, Michel Kadoch

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Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems by Liling Sun, Yuhan Wu, Xiaodan Liang, Maowei He, Hanning Chen

“…The performance of the proposed ABCCC is verified by a set of constrained benchmark problems comparing with two state-of-the-art CC-based EAs, including particle swarm optimization based on CC (PSOCC) and differential evolution based on CC (DECC). Experimental results demonstrate the promising performance of the proposed algorithm, in terms of both optimization quality and convergence speed.…”
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Optimal Energy Management of Microgrids using Quantum Teaching Learning Based Algorithm by Zahra Esmaeili, Seyed Hamid Hosseini

“…The obtained simulation results demonstrate that the QTLBO is significantly superior to the TLBO, Differential Evolution, and Real-Coded Genetic Algorithm in terms of both achieving the final optimal solution and convergence speed.…”
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A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems by Da Feng, Jianchang Liu

“…Additionally, three environmental selection strategies are designed to correspond to the different tasks in MTGA-CMMO. Extensive experimental verification demonstrates that MTGA-CMMO outperforms other comparative algorithms across multiple test instances and one practical application problem.…”
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Hybrid Optimization Algorithm for Solving Attack-Response Optimization and Engineering Design Problems by Ahmad K. Al Hwaitat, Hussam N. Fakhouri, Jamal Zraqou, Najem Sirhan

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Chronic Hepatitis С in Siberian Federal District: Analysis of a Case Rate and Evolution of Genotypes of the Originator by E. D. Savilov, S. I. Malov, I. V. Malov, O. B. Ogarkov, V. A. Astafev, N. N. Chemezova, I. A. Miroshnichenko

“…For integrated assessment of an epidemiological situation indicators of a case rate of the chronic hepatitis C and statistical criteria are used: a standard deviation and rate of a gain of a case rate and also an algorithm of calculation of an integrated indicator in the form of presentation coefficient. …”
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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks. …”
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Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset by Najlaa Aldabagh, Mafaz Khalil

“…Genetic algorithms (GA) which is a model of genetic evolution, while Clonal selection theory (CST) is from models of the natural immune system NIS,  the two models are from two different fields of Artificial Intelligence AI but they have portion of shared operations and objectives. …”
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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…In particular, Self-Adapting Differential Evolution (jDE), Manta Ray Foraging Optimization (MRFO), and the Coral Reefs Optimization Algorithm (CRO) showed significant improvements when paired with MsMA. …”
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Towards a comprehensive view of the pocketome universe-biological implications and algorithmic challenges. by Hanne Zillmer, Dirk Walther

“…We discuss the biological significance of this finding as well as identify critical and unmet algorithmic challenges.…”
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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.…”
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