Results 41 to 50 of about 5,817,365 (365)
Ameliorated Ensemble Strategy-Based Evolutionary Algorithm with Dynamic Resources Allocations
International Journal of Computational Intelligence Systems, 2020 In the last two decades, evolutionary computing has become the mainstream to attract the attention of the experts in both academia and industrial applications due to the advent of the fast computer with multi-core GHz processors have had a capacity of ...
Wali Khan Mashwani +3 more
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Complex System Modeling and Simulation, 2023 Portfolio optimization is a classical and important problem in the field of asset management, which aims to achieve a trade-off between profit and risk.
Feng Wang, Zilu Huang, Shuwen Wang
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Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization [PDF]
IEEE Transactions on Evolutionary Computation, 2017 When solving constrained multiobjective optimization problems, an important issue is how to balance convergence, diversity, and feasibility simultaneously.
Ke Li, Renzhi Chen, G. Fu, X. Yao
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An island based hybrid evolutionary algorithm for optimization [PDF]
, 2008 This is a post-print version of the article - Copyright @ 2008 Springer-VerlagEvolutionary computation has become an important problem solving methodology among the set of search and optimization techniques. Recently, more and more different evolutionary
C. Li +9 more
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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Complexity, 2021 Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark ...
Wali Khan Mashwani +4 more
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Pseudo derivative evolutionary algorithm and convergence analysis [PDF]
, 2018 In this paper, a novel evolutionary algorithm (EA), called pseudo-derivative EA (called PDEA), is proposed. The basic idea of PDEA is to use pseudo-derivative, which is obtained based on the information produced during the evolution, and to help search ...
Lu, Chengchao +3 more
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A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization
IEEE Transactions on Evolutionary Computation, 2020 In this article, a new hypervolume-based evolutionary multiobjective optimization algorithm (EMOA), namely, R2HCA-EMOA (R2-based hypervolume contribution approximation EMOA), is proposed for many-objective optimization.
Ke Shang, H. Ishibuchi
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IEEE Transactions on Evolutionary Computation, 2019 Surrogate-assisted evolutionary algorithms (SAEAs) have been developed mainly for solving expensive optimization problems where only a small number of real fitness evaluations are allowed.
Linqiang Pan +5 more
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Autonomous Evolutionary Algorithm [PDF]
, 2010 Evolutionary algorithms (EA) are randomized heuristic search methods based on the principles of natural evolution (Banzhaf et al., 1998; Goldberg, 1989; Holland, 1975; Back, 1996; Koza, 1992). If we know how to describe the problem using the terminology of artificial evolution, the EAs are quite easy to apply.
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The Self-Organization of Interaction Networks for Nature-Inspired Optimization
, 2009 Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into nature inspired optimization algorithms.
Pham, Q. Tuan +2 more
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