Now showing items 1-3 of 3
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection
In general, for the iteration process of an evolutionary algorithm (EA), there exists the problem of uneven distribution of individuals in the target space for both multi-objective and single-objective optimization problems. ...
A novel multi-objective evolutionary algorithm based on space partitioning
To design an e ective multi-objective optimization evolutionary algorithms (MOEA), we need to address the following issues: 1) the sensitivity to the shape of true Pareto front (PF) on decomposition-based MOEAs; 2) the ...
A similarity-based cooperative co-evolutionary algorithm for dynamic interval multi-objective optimization problems
(IEEE Press, 2019-04-19)
Dynamic interval multi-objective optimization problems (DI-MOPs) are very common in real-world applications. However, there are few evolutionary algorithms that are suitable for tackling DI-MOPs up to date. A framework of ...