Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Sp…
The decomposition-based evolutionary algorithm (MOEA/D) has attained excellent performance in solving optimization problems involving multiple conflicting objectives. However, the Pareto-optimal fr…
Novel Prediction Strategies for Dynamic Multiobjective Optimization
This paper proposes a new prediction-based dynamic multiobjective optimization (PBDMO) method, which combines a new prediction-based reaction mechanism and a popular regularity model-based multiobj…
A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval…
Dynamic interval multiobjective optimization problems (DI-MOPs) are very common in real-world applications. However, there are few evolutionary algorithms (EAs) that are suitable for tackling DI-MO…
Ant Colony Optimization Algorithms for Dynamic Optimization : A Case Study of…
Ant colony optimization is a swarm intelligence metaheuristic inspired by the foraging behavior of some ant species. Ant colony optimization has been successfully applied to challenging optimizatio…
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimiz…
To promote research on dynamic constrained multiobjective optimization, we first propose a group of generic test problems with challenging characteristics, including different modes of the true Par…
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