407 citations · 805 across the 30 of their papers we have counts for
8 papers · 1 filter
Learning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis
Dikshit Chauhan, Shivani, P. N. Suganthan
Nature has long inspired the development of swarm intelligence (SI), a key branch of artificial intelligence that models collective behaviors observed in biological systems for sol…
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser +6
In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a myriad of research st…
A Two-stage Evolutionary Framework For Multi-objective Optimization
Peng Chen, Jing Liang, Kangjia Qiao +2
In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions th…
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching
Yangyang Guo, Hao Wang, Lei He +3
An efficient team is essential for the company to successfully complete new projects. To solve the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer p…
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan +2
Metaheuristics are popularly used in various fields, and they have attracted much attention in the scientific and industrial communities. In recent years, the number of new metaheu…
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative appr…