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Evolutionary Algorithms in Intelligent Systems
Published 2020-10-01“…Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally difficult optimization problems [...]…”
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Data mining with evolutionary algorithms
Published 2010“…Firstly, the relevant theories of data mining and evolutionary algorithms have been reviewed in the report. …”
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Performance assessment of evolutionary algorithms
Published 2011“…But recently there has been a growing trend to use evolutionary algorithms (EA) to solve these problems, which use random operators, inspired from evolution concept, on a population of candidate solutions iteratively to get the optimum values.…”
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EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL
Published 2017-12-01“…The paper describes some of the popular evolutionary algorithms: genetic algorithms, differential evolution method, particle swarm optimization and bat-inspired method. …”
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Spherical Distributions Used in Evolutionary Algorithms
Published 2021-11-01“…Performance of evolutionary algorithms in real space is evaluated by local measures such as success probability and expected progress. …”
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Optimization of credit portfolio by evolutionary algorithm
Published 2009“…To solve the credit optimization problem, evolutionary algorithms (EA) are always preferred. As EAs are able to find multiple Pareto-optimal solutions in one single run, development of evolutionary algorithms to solve multi-objective optimization problems has attracted much interest. …”
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Evolutionary algorithm for package delivery service
Published 2018“…In this report, the author presents a hybrid genetic algorithm, an evolutionary algorithm, as a viable solution for the VRPPC. …”
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Final Year Project (FYP) -
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An introduction to evolutionary computation and evolutionary algorithms
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An effective model of multiple multi-objective evolutionary algorithms with the assistance of regional multi-objective evolutionary algorithms: vipmoeas
Published 2012“…Division of the evolutionary search among multiple multi-objective evolutionary algorithms (MOEAs) is a recent advantage in MOEAs design, particularly in effective parallel and distributed MOEAs. …”
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Evolutionary algorithms for mobile ad hoc networks /
Published [201“…"This comprehensive guide describes how evolutionary algorithms (EA) may be used to identify, model, and optimize day-to-day problems that arise for researchers in optimization and mobile networking. …”
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Optimal Power Flow Using Evolutionary Algorithms /
Published 2021“…Optimal Power Flow Using Evolutionary Algorithms provides emerging research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. …”
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