An Interval Multi-objective Particle Swarm Optimization Algorithm with Niching Technology for Multimodal Problems

This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective optimization problems (IMMOPs). Firstly, in order to locate and maintain multiple optimal solutions, an interval niching PSO (INPSO) algorithm using...

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Vydáno v:Chinese Control and Decision Conference s. 4018 - 4023
Hlavní autoři: Guan, Shouping, Li, Xinyu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 20.05.2023
Témata:
Aerospace electronics
crowding distance
interval particle swarm optimization (IPSO)
multimodal multi-objective optimization
niching technology
Optimization
Particle swarm optimization
Simulation
Sorting
Topology
ISSN:1948-9447
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Shrnutí:This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective optimization problems (IMMOPs). Firstly, in order to locate and maintain multiple optimal solutions, an interval niching PSO (INPSO) algorithm using a ring topology is introduced, and a dual archive mechanism is used to store personal and neighborhood best positions of all particles. Then, a fast non-dominated sorting algorithm based on interval analysis and the interval special crowding distance (ISCD) calculation method are presented, which are combined to form the sorting mechanism of interval particles in IMNPSO. Finally, several multi-objective test functions are selected, and the results demonstrate the effectiveness of the proposed algorithm.
ISSN:1948-9447
DOI:10.1109/CCDC58219.2023.10326563