Now showing items 1-6 of 6
A many-objective evolutionary algorithm based on rotated grid
Evolutionary optimization algorithms, a meta-heuristic approach, often encounter considerable challenges in many-objective optimization problems (MaOPs). The Pareto-based dominance loses its effectiveness in MaOPs, which ...
A strength pareto evolutionary algorithm based on reference direction for multi-objective and many-objective optimization
(IEEE Press, 2017-03-24)
While Pareto-based multi-objective optimization algorithms continue to show effectiveness for a wide range of practical problems that involve mostly two or three objectives, their limited application for many-objective ...
A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization
(ACM Press, 2015-07)
Increasing interest in simultaneously optimizing many objectives (typically more than three objectives) of problems leads to the emergence of various many-objective algorithms in the evolutionary multi-objective optimization ...
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 ...