A new meta-heuristic optimizer: Pathfinder algorithm

• Published in: Applied soft computing Vol. 78; pp. 545 - 568
• Main Authors: Yapici, Hamza, Cetinkaya, Nurettin
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2019
• Subjects: Metaheuristics; Multi-objective optimization; Optimization; Optimization techniques; Pathfinder algorithm; Optimization techniques; Pathfinder algorithm; Multi-objective optimization; Metaheuristics; Optimization

This paper proposes a new meta-heuristic algorithm called Pathfinder Algorithm (PFA) to solve optimization problems with different structure. This method is inspired by collective movement of animal group and mimics the leadership hierarchy of swarms to find best food area or prey. The proposed meth...