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Evaluating evolutionary algorithms
Artificial Intelligence, 1996 AbstractTest functions are commonly used to evaluate the effectiveness of different search algorithms. However, the results of evaluation are as dependent on the test problems as they are on the algorithms that are the subject of comparison. Unfortunately, developing a test suite for evaluating competing search algorithms is difficult without clearly ...
Darrell Whitley +3 more
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New search strategy for multi-objective evolutionary algorithm [PDF]
HeliyonTo address the problem of low search efficiency of multi-objective evolutionary algorithm during iterations, we proposed a new idea which considering a single individual to generate better solutions in a single iteration as a starting point to improve ...
Liu Yuejun
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Hybrid selection based multi/many-objective evolutionary algorithm [PDF]
Scientific Reports, 2022 In the last decade, numerous multi/many-objective evolutionary algorithms (MOEAs) have been proposed to handle multi/many-objective problems (MOPs) with challenges such as discontinuous Pareto Front (PF), degenerate PF, etc.
Saykat Dutta +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
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Algorithmicity of Evolutionary Algorithms [PDF]
Studies in Logic, Grammar and Rhetoric, 2020 Abstract In the first part of our article we will refer the penetration of scientific terms into colloquial language, focusing on the sense in which the concept of an algorithm currently functions outside its original scope. The given examples will refer mostly to disciplines not directly related to computer science and to the colloquial
Sławomir Leciejewski +1 more
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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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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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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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An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems
IEEE Transactions on Evolutionary Computation, 2020 In the last two decades, a variety of different types of multiobjective optimization problems (MOPs) have been extensively investigated in the evolutionary computation community.
Ye Tian +3 more
semanticscholar +1 more source