A review of population-based meta-heuristic algorithm

By Zahra Beheshti. Soft Computing Models in Industrial and Environmental Applications, 2013

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Red deer algorithm (RDA): a new nature-inspired meta-heuristic (2020, background): “, intensification and diversification), recent years have seen a number of review papers aiming the recent trends of metaheuristics (Beheshti and Shamsuddin 2013; Hosseini and Al Khaled 2014; Kar 2016; Kaveh 2016; Hussain et al. 2018).”
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, background): “complex, not always intuitive functions in selection and crossover operators, while PSO suffers from getting stuck into local optima and slow convergence speed [128].”
Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, background): “A further classification based on population is presented in Beheshti and Shamsuddin (2013); Nojhan (2007).”
A new metaheuristic for numerical function optimization: Vortex Search algorithm (2015, background): “Thus, the term metaheuristics can be defined as some intelligent strategies that enhance the efficiency of the heuristic methods [6].”
Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions (2019, methodology): “For the optimization of multimodal functions where many local optima exist, the optimization algorithm should try to avoid trapping into local optima, which is a difficult issue for many heuristic algorithms [18].”