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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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arXiv, 2015 This manuscript contains an outline of lectures course "Evolutionary Algorithms" read by the author. The course covers Canonic Genetic Algorithm and various other genetic algorithms as well as evolutionary strategies, genetic programming, tabu search and the class of evolutionary algorithms in general.
arxiv +3 more sources
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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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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Multicriteria Evolutionary Weather Routing Algorithm in Practice [PDF]
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 2013 The Multicriteria Evolutionary Weather Routing Algorithm (MEWRA) has already been introduced by the author on earlier TransNav 2009 and 2011 conferences with a focus on theoretical application to a hybrid-propulsion or motor-driven ship.
Joanna Szlapczynska
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Evolving Evolutionary Algorithms with Patterns [PDF]
Soft Computing, Springer-Verlag Vol. 11, Issue 6, pp. 503-518,
2007, 2021 A new model for evolving Evolutionary Algorithms (EAs) is proposed in this paper. The model is based on the Multi Expression Programming (MEP) technique. Each MEP chromosome encodes an evolutionary pattern that is repeatedly used for generating the individuals of a new generation. The evolved pattern is embedded into a standard evolutionary scheme that
arxiv +1 more source
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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