Evolutionary mating algorithm [PDF]
Neural Computing and Applications, 2022 This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. The algorithm is based on the adoption of random mating concept from Hardy–Weinberg equilibrium and crossover index in order to produce new offspring. In this algorithm, effect of the environmental factor (i.e.
Mohd Herwan Sulaiman +4 more
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Trusted Evolutionary Algorithm
2006 IEEE International Conference on Evolutionary Computation, 2006 In both numerical and stochastic optimization methods, surrogate models are often employed in lieu of the expensive high-fidelity models to enhance search efficiency. In gradient-based numerical methods, the trustworthiness of the surrogate models in predicting the fitness improvement is often addressed using ad hoc move limits or a trust region ...
Dudy Lim +3 more
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An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]
, 2011 The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim +2 more
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Performance Comparison of Non-Dominated Sorting Genetic Algorithm with strength Pareto evolutionary algorithm in Selecting Optimal Portfolios in Tehran Stock Exchange [PDF]
تحقیقات مالی, 2022 Objective: One of the most important issues for all investors, including individual and institutional investors in the stock market, is finding the optimal portfolio. Identifying the optimal portfolio in the stock market can be considered a two-objective
Gholamhossein Golarzi, Hamid Reza Ansari
doaj +1 more source
Quantum-Inspired Distributed Memetic Algorithm
Complex System Modeling and Simulation, 2022 This paper proposed a novel distributed memetic evolutionary model, where four modules distributed exploration, intensified exploitation, knowledge transfer, and evolutionary restart are coevolved to maximize their strengths and achieve superior global ...
Guanghui Zhang +4 more
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Theoretical analysis of garden balsam optimization algorithm
Systems Science & Control Engineering, 2022 Garden balsam optimization (GBO) is a new proposed evolutionary algorithm based on swarm intelligence. Convergence and time complexity analyses are very important in evolutionary computation, but the research on GBO is still blank.
Xiaohui Wang, Shengpu Li
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Automating control system design via a multiobjective evolutionary algorithm [PDF]
, 2005 This chapter presents a performance-prioritized computer aided control system design (CACSD) methodology using a multi-objective evolutionary algorithm. The evolutionary CACSD approach unifies different control laws in both the time and frequency domains
Li, Y., Tan, K.C.
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Evolutionary Multi-Objective Membrane Algorithm
IEEE Access, 2020 Recent advances in evolutionary algorithms based on membrane computing have shown that the mechanism of membrane computing is an effective way to solve optimization problems. In this work, we propose a new evolutionary multi-objective algorithm that uses
Chuang Liu +3 more
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A Novel Elitism Co-Evolutionary Algorithm for Antagonistic Weapon-Target Assignment
IEEE Access, 2021 The Antagonistic Weapon-Target Assignment (AGWTA) problem is a crucial decision issue in Command & Control (C2). Since this is a minimax problem, co-evolutionary algorithms can be used to solve it effectively.
Jichuan Huang +5 more
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Construction Algorithm of Given Girth Graphs Based on Quantum Evolution [PDF]
Jisuanji gongcheng, 2017 To construct an extremal graph with a given girth is still a challenging problem of graph theory.Especially when the vertex number increasex combination explosion will appear.Thus,this paper proposes an algorithm for constructing graphs with given girth ...
FENG Xiaohua,SUN Yongqi
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