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Abstract <p>This article proposes a mixed-integer multiobjective optimization algorithm based on the cuckoo search metaheuristic and the genetic crossover operator. A search is carried out in discrete space using a genetic operator and in continuous space using a metaheuristic strategy. Performance was assessed using modified ZDT and DTLZ tests with mixed variables. The experimental results showed the high efficiency of the proposed algorithm on complex convergence and diversity estimates.</p>

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Mixed-Integer Multiobjective Optimization Algorithm Based on Cuckoo Search Methaheuristic with Genetic Crossover Operator

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • K. S. Sarin

摘要

Abstract

This article proposes a mixed-integer multiobjective optimization algorithm based on the cuckoo search metaheuristic and the genetic crossover operator. A search is carried out in discrete space using a genetic operator and in continuous space using a metaheuristic strategy. Performance was assessed using modified ZDT and DTLZ tests with mixed variables. The experimental results showed the high efficiency of the proposed algorithm on complex convergence and diversity estimates.