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Modular Differential Evolution [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2023 New contributions in the field of iterative optimisation heuristics are often made in an iterative manner. Novel algorithmic ideas are not proposed in isolation, but usually as an extension of a preexisting algorithm. Although these contributions are often compared to the base algorithm, it is challenging to make fair comparisons between larger sets of
Diederick Vermetten +3 more
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Utility of a Shuffled Differential Evolution algorithm in designing of a Pi-Sigma Neural Network based predictor model [PDF]
Applied Computing and Informatics, 2023 Since the last few decades, Artificial Neural Networks have been the center of attraction of a large number of researchers for solving diversified problem domains.
Rajashree Dash +2 more
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A Stigmergy-Based Differential Evolution
Applied Sciences, 2022 Metaheuristic algorithms are techniques that have been successfully applied to solve complex optimization problems in engineering and science. Many metaheuristic approaches, such as Differential Evolution (DE), use the best individual found so far from ...
Valentín Osuna-Enciso +1 more
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Differential Evolution and Engineering Problems
Mendel, 2023 In this paper, the performance of the Differential Evolution algorithm is evaluated when solving real-world problems. A Set of 13 engineering optimisation problems was selected from the fields of mechanics and industry to illustrate the usability of the
Petr Bujok +2 more
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Improved differential evolution algorithms for solving multi-stage crop planning model in southern region of Thailand [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2019 This paper presents algorithms based on Differential Evolution and Improved Differential Evolution for solving a multistage crop planning problem in southern region of Thailand to maximize the profit.
Phajongjit Pijitbanjong +3 more
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Solving Ordinary Differential Equations With Adaptive Differential Evolution
IEEE Access, 2020 Solving ordinary differential equations (ODEs) is vital in diverse fields. However, it is difficult to obtain the exact analytical solutions of ODEs due to their changeable mathematical forms.
Zijia Zhang, Yaoming Cai, Dongfang Zhang
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Shanghai Jiaotong Daxue xuebao, 2021 In order to improve the flexibility and response efficiency of warehouse dispatching, a cascaded improved differential evolution algorithm is proposed to construct the allocation of goods with the picking trolley running time, shelf stability, and ...
CHEN Guangfeng, YU Lichao
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Differential evolution with quasi-reflection-based mutation
Mathematical Biosciences and Engineering, 2021 Differential evolution (DE) is one of the most successful evolutionary algorithms. However, the performance of DE is significantly influenced by its mutation strategies. Generally, different mutation strategies may obtain different search directions. The
Wei Li, Wenyin Gong
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Accurate parameters extraction of PEMFC model based on metaheuristics algorithms
Energy Reports, 2021 The electro-chemical proton exchange membrane fuel cell (PEMFC) is an inventing electrical generator from chemical reaction process as a green energy source.
Ahmed A. Zaki Diab +4 more
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An Adaptive Mechanism With Cooperative Coevolution and Covariance for Differential Evolution
IEEE Access, 2021 Differential evolution (DE) is an evolutionary algorithm widely used to solve optimization problems with different characteristics in fields where actions and decisions depend on numerical data such as engineering, economics, and logistics. In this paper,
Bin Wang +6 more
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