Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems

• Published in: Engineering applications of artificial intelligence Vol. 128; p. 107532
• Main Authors: Sowmya, Ravichandran, Premkumar, Manoharan, Jangir, Pradeep
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2024
• Subjects: Constrained problems; Internet of vehicle; Metaheuristics; Newton-Raphson search rule; Newton-Raphson-based optimizer; Trap avoidance operator; Trap avoidance operator; Newton-Raphson search rule; Constrained problems; Newton-Raphson-based optimizer; Internet of vehicle; Metaheuristics
• ISSN: 0952-1976; 1873-6769
• DOI: 10.1016/j.engappai.2023.107532

The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's approach, and it explores the entire search process using two rules: the Newton-Raphson Search Rule (NRSR) and the Trap Avoidance Operator...