Interval many-objective optimization problems (IMaOPs) involve more than three conflicting
objectives with interval parameters. Various real-world applications under uncertainty can …

This study proposes an adaptive robot pathfinding algorithm (MS-W-Theta*) based on fused
trajectory smoothing with 3D maps. Firstly, we introduce an obstacle buffer in the 3D map …

The main challenge in finding the optimal Pareto Front (PF) and Pareto Set (PS) sets for
multimodal multi-objective optimization problems (MMOPs) with conflicting objective …

Artificial bee colony (ABC) algorithm has shown excellent performance over many single
and multi-objective optimization problems (MOPs). However, ABC encounters some …

In recent years, various many-objective evolutionary algorithms (MaOEAs) have been
proved to be successful in solving many-objective optimization problems (MaOPs) …

As the number of objectives increases, many-objective optimization problems (MaOPs)
become increasingly complex. Traditional indicator-based many-objective evolutionary …

Based on dimensional memory mechanism and adaptive elite population, this paper
proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve …

With the increase in the number of objectives, the curse of dimensionality will eventually
occur in some practical multi-objective optimization problems. This situation will become …

The development of electric vertical take-off and landing aircraft (eVTOL) is expected to
provide a new mode of transportation and effectively alleviate traffic congestion in large …

This paper presents a methodological approach to solving the fuzzy capacitated logistic
distribution center problem, with a focus on the optimal selection of distribution centers to …