MATEC Web Conf.
Volume 355, 20222021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|Number of page(s)||13|
|Section||Mathematical Science and Application|
|Published online||12 January 2022|
An effective hybrid search mode for multi-objective optimization with constraints
1 Institute of Telecommunication and Navigation Satellites, China Academy of Space Technology, Beijing 100094, China
2 Computer College, Hangzhou Dianzi University, Hangzhou 310000, China
* Corresponding author: email@example.com
In this paper a new search strategy for multi-objective optimization (MOO) with constraints is proposed based on a hybrid search mode (HSM). The search processes for feasible solutions and optimal solutions are executed in a mixed way for the existing methods. With regard to HSM, a hybrid search mode is proposed, which consists of two processes: Feasibility search mode (FSM) and optimal search mode (OSM). The executions of these two search modes are independent relatively and also adjusted according to the population distribution. In the early stage, FSM plays the leading role for exploring the feasible space since most of the individuals are infeasible. With the increase of the feasible individuals, OSM is the primary operation for the search of optimal individuals. The proposed method is simple to implement and need few extra parameter tuning. The handing method of constraints is tested on several multi-objective optimization problems with constraints. The remarkable results demonstrate its effectiveness and good performance.
Key words: Multi-objective optimization / Hybrid search mode / Feasibility search mode / Optimal search mode
© The Authors, published by EDP Sciences, 2022
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