Evolutionary Competitive Multitasking Optimization
提出一种竞争性多任务优化问题，其所有任务目标可比且最优解为各任务最优解中的最佳者，并设计了一种带在线资源分配和自适应信息传递的进化算法，实验证明该算法有效且高效。
This article introduces a special multitasking optimization problem (MTOP) called the competitive MTOP (CMTOP). Its distinctive characteristics are that all tasks’ objectives are comparable, and its optimal solution is the best one among the optimal solutions of all the individual problems. This article proposes an evolutionary algorithm with an online resource allocation strategy and an adaptive information transfer mechanism to solve the CMTOP. The experimental results on benchmark and real-world problems show that our proposed algorithm is effective and efficient.