Evolutionary dynamic multi-objective optimisation (EDMO) is a relatively young but rapidly
growing area of investigation. EDMO employs evolutionary approaches to handle multi …

In order to effectively analyze the risk‐return decision‐making model of PPP project by Yuan
et al.,(2020) this paper, based on the fuzzy Borda method and synergy effect theory …

Dynamic multiobjective optimization problems (DMOPs) typically involve multiple conflicting
time-varying objectives that require optimization algorithms to quickly track the changing …

Localization of plots of land which have the highest level of radiation, chemical or alternative
contamination is one of the typical group robotics objectives. The research aim lies in …

目前的多移动机器人群组很难做到成员的真正同质, 现有的群智能算法也很难包容团队的异质性
. 关注多移动机器人的异质性协同, 提出母子机器人概念. 为实现群智能算法在异质多移动机器人 …

This paper presents a multi-objective version of the Cat Swarm Optimization Algorithm
called the Grid-based Multiobjective Cat Swarm Optimization Algorithm (GMOCSO) …

At present, it is difficult to achieve the real homogeneity of the members of the multiple
mobile robots. The existing swarm intelligence algorithm is also difficult to accommodate the …