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- W3149795488 abstract "A linear evolutionary algorithm for solving constrained optimization problems (LEACOP) based on real-coded method is proposed,and its complexity and convergence are also analyzed.One of the main advantages of the proposed algorithm is that the search space of constrained dominance problems with high dimensions is compressed into two dimensions.A linear fitness function based on mathematic analysis is deduced in two dimension space to fast evaluate fitness value of each individual in population.A crossover operator based on density function and a new mutation operator are developed to extend the search space and extract better solution.In addition,an average linkage based on hierarchical clustering method is introduced into the LEACOP to maintain the number of individuals on Pareto set.A few benchmark multi-objective optimization problem which is divided into three groups is introduced to test this algorithm.The numerical experiments show that proposed algorithm is feasible and effective,and it provides good performance in terms of uniformity and diversity of solutions." @default.
- W3149795488 created "2021-04-13" @default.
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- W3149795488 date "2009-01-01" @default.
- W3149795488 modified "2023-09-23" @default.
- W3149795488 title "A Linear Evolutionary Algorithm for Solving Constrained Optimization Problems" @default.
- W3149795488 hasPublicationYear "2009" @default.
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