NONE
20260505112417035
wseas/wseas
content-registration-form+ja@crossref.org
content-registration-form
WSEAS TRANSACTIONS ON SYSTEMS
1109-2777
2224-2678
SocioCyclic Optimizer: a Novel Swarm-Based Metaheuristic Algorithm
Mohammed H. S.
Helal
Department of Computer Science Birzeit University Ramallah, PALESTINE
https://orcid.org/0000-0001-6898-9650
This paper presents a novel swarm evolutionary metaheuristic optimization algorithm inspired by the cyclic nature of human civilization in its rise from nomadic life to the point where it peaks, stagnates, and then declines back to nomadic life. Nomads do the exploration, while civics do the exploitation. The proposed algorithm also mimics basic attributes and behaviors of human civilizations from hostility that pushes civilizations away from each other to cooperation and trade which helps to explore areas in between and exchange knowledge of best traits (products). Experimental results show highly competitive results when benchmarked with common swarm-based evolutionary algorithms such as Genetic Algorithm, Particle Swarm Optimization, Wolf Pack Algorithm, and Artificial Bee Colony, using common test functions like Rastrigin, Schwefel, Rosenbrock, Griewank, and Ackley.
05
05
2026
05
05
2026
286
22
https://creativecommons.org/licenses/by/4.0/deed.en_US
10.37394/23202.2026.25.22
https://wseas.com/journals/systems/2026/a445102-011(2026).pdf
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