Handling constrained multiobjective optimization problems (CMOPs) is extremely
challenging, since multiple conflicting objectives subject to various constraints require to be …

Parameter tuning, that is, to find appropriate parameter settings (or configurations) of
algorithms so that their performance is optimized, is an important task in the development …

Fitness landscapes were proposed in 1932 as an abstract notion for understanding
biological evolution and were later used to explain evolutionary algorithm behaviour. The …

Recent decades have witnessed great advancements in multiobjective evolutionary
algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …

Over past few decades, as a powerful analytical tool to characterize the fitness landscape of
a problem, fitness landscape analysis (FLA) has been widely concerned and utilized for all …

Cooperative co-evolution (CC) is an explicit means of problem decomposition in
multipopulation evolutionary algorithms for solving large-scale optimization problems. For …

Over the last two decades, many different differential evolution algorithms for solving
optimization problems have been introduced. Although most of these algorithms used a …

The deployment of an unmanned aerial network (UAV-network) for the optimal coverage of
ground nodes is an NP-hard problem. This work focuses on the application of a multi-layout …

适应度地形分析关注优化问题本身, 用于提取与适应度地形特性有关的描述性或数值度量,
在评估算法相对性能, 对优化问题分类, 指导算法设计和算法推荐等方面具有重要的研究意义和 …

This paper presents the general framework of a parallel cooperative hyper-heuristic
optimizer (PCHO) to solve systems of nonlinear algebraic equations with equality and …