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Evolutionary algorithms [PDF]

open access: yesarXiv, 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]

open access: yesHeliyon
To 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
doaj   +2 more sources

Performance Comparison of Non-Dominated Sorting Genetic Algorithm with strength Pareto evolutionary algorithm in Selecting Optimal Portfolios in Tehran Stock Exchange [PDF]

open access: yesتحقیقات 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

Algorithmicity of Evolutionary Algorithms [PDF]

open access: yesStudies 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
openaire   +2 more sources

Quantum-Inspired Distributed Memetic Algorithm

open access: yesComplex 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
doaj   +1 more source

Multicriteria Evolutionary Weather Routing Algorithm in Practice [PDF]

open access: yesTransNav: 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
doaj   +1 more source

Evolving Evolutionary Algorithms with Patterns [PDF]

open access: yesSoft 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

open access: yesSystems 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
doaj   +1 more source

A Novel Elitism Co-Evolutionary Algorithm for Antagonistic Weapon-Target Assignment

open access: yesIEEE 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
doaj   +1 more source

An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems

open access: yesIEEE 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

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