Skip to main content

and
  1. No Access

    Article

    Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization

    Constrained multi-objective problems are difficult for researchers to solve because they contain infeasible regions. To address this issue, this paper proposes two cooperative constraint handling techniques th...

    Jianlin Zhang, Jie Cao, Fuqing Zhao, Zuohan Chen in Memetic Computing (2024)

  2. No Access

    Article

    A constrained multi-objective optimization algorithm with two cooperative populations

    Constrained multi-objective problems (CMOPs) require balancing convergence, diversity, and feasibility of solutions. Unfortunately, the existing constrained multi-objective optimization algorithms (CMOEAs) exh...

    Jianlin Zhang, Jie Cao, Fuqing Zhao, Zuohan Chen in Memetic Computing (2022)

  3. No Access

    Article

    A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution

    Estimation of distribution algorithms (EDAs) and differential evolution (DE) are two types of evolutionary algorithms. The former has fast convergence rate and strong global search capability, but is easily tr...

    Fuqing Zhao, Zhongshi Shao, Junbiao Wang in Computational and Applied Mathematics (2017)