Item Infomation
Title: | Multi-objective chaos game optimization |
Authors: | Nima, Khodadadi Laith, Abualigah Qasem, Al-Tashi |
Issue Date: | 2023 |
Publisher: | Springer |
Abstract: | The Chaos Game Optimization (CGO) has only recently gained popularity, but its effective searching capabilities have a lot of potential for addressing single-objective optimization issues. Despite its advantages, this method can only tackle problems formulated with one objective. The multi-objective CGO proposed in this study is utilized to handle the problems with several objectives (MOCGO). In MOCGO, Pareto-optimal solutions are stored in a fixed-sized external archive. In addition, the leader selection functionality needed to carry out multi-objective optimization has been included in CGO. The technique is also applied to eight real-world engineering design challenges with multiple objectives. The MOCGO algorithm uses several mathematical models in chaos theory and fractals inherited from CGO. |
Description: | CC BY |
URI: | https://link.springer.com/article/10.1007/s00521-023-08432-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7721 |
Appears in Collections | OER - Công nghệ thông tin |
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