The Hybrid Leader-Based Optimization (HLBO) algorithm combines the concepts of both leader-based and evolutionary optimization techniques. It was introduced by Mohammadi et al. in 2020. The algorithm employs a leader selection mechanism similar to leader-based algorithms, where a leader guides the population towards better solutions. Additionally, HLBO incorporates evolutionary operators such as mutation and crossover to maintain diversity and exploration.
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praveen kumar (2024). Hybrid Leader-Based Optimization (HLBO) algorithm (https://www.mathworks.com/matlabcentral/fileexchange/163451-hybrid-leader-based-optimization-hlbo-algorithm), MATLAB Central File Exchange. 检索来源 .
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1.0.0 |