A5076630034- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Scheduling and Optimization Algorithms
- Data Stream Mining Techniques
- Smart Parking Systems Research
- Plant Parasitism and Resistance
Shanghai University of Engineering Science
2022-2023
The Phasmatodea population evolution algorithm (PPE) is a novel metaheuristic proposed in recent years, which simulates the evolutionary trend of stick insect population. In this article, multigroup-based with mutistrategy (MPPE) to further improve overall performance PPE. During initialization period, divided into multiple groups, and step factor flower pollen introduced growth model no more than half groups. This makes diversified prevents from falling local optimal solution certain...
The phasmatodea population evolution algorithm (PPE) is a recently proposed meta-heuristic based on the evolutionary characteristics of stick insect population. simulates features convergent evolution, competition, and growth in process nature realizes above through competition model. Since has slow convergence speed falls easily into local optimality, this paper, it mixed with equilibrium optimization to make easier avoid optimum. Based hybrid algorithm, grouped processed parallel...