Most of the existing dynamic multi-objective evolutionary algorithms (DMOEAs) are effective, which focuses on searching for approximation Pareto-optimal front (POF) with well-distributed in handling optimization problems (DMOPs). Nevertheless, real-world scenarios, decision maker (DM) may be only interested a portion corresponding POF (i.e., region interest) different instances, rather than who...

The Coati Optimization Algorithm (COA) has emerged as a prominent evolutionary algorithm renowned for its efficacy in addressing real-world problems. Its wide-ranging applicability across diverse domains is testament to exceptional performance and versatility. Compared other algorithms, COA been proven possess excellent global local search capabilities. This paper introduces novel self-organizi...

The increasing demand for low-cost space-borne Earth observation missions has led to small satellite constellation systems development. CubeSat platforms can provide a cost-effective multiple-mission space system using state-of-the-art technology. This paper presents new approach design multiple multi-objective genetic algorithm (MOGA). is proposed perform multi-missions that should satisfy glo...