Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

作者：

Highlights：

• A performance-based algorithm (HGS) is proposed for global search and optimization in real world.

• HGS simulates the logic of the collaborative interactions based on individual hunger.

• The extensive results on benchmark problems and real datasets have been investigated.

• The proposed HGS is applied to engineering optimization to reduce the consumption.

摘要

•A performance-based algorithm (HGS) is proposed for global search and optimization in real world.•HGS simulates the logic of the collaborative interactions based on individual hunger.•The extensive results on benchmark problems and real datasets have been investigated.•The proposed HGS is applied to engineering optimization to reduce the consumption.

论文关键词：Hunger Games Search,Optimization,Swarm-intelligence,Metaheuristic,Engineering design problems

论文评审过程：Received 19 September 2019, Revised 28 February 2021, Accepted 4 March 2021, Available online 10 March 2021, Version of Record 8 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114864