War Strategy Optimization Algorithm for MATLAB

MATLAB code for a new metaheuristic optimization algorithm "War Strategy Optimization Algorithm" inspired from ancient war strategies.

The proposed War Strategy Optimization (WSO) is based on the strategic movement of army troops during the war inspired from ancient war strategies. War strategy inspired from ancient war strategies is modeled as an optimization process wherein each soldier dynamically moves towards the optimum value. The proposed algorithm models two popular war strategies, attack and defense strategies. It is a optimization algorithm designed for solving engineering optimization algorithm problems.

If you use the code, please cite the below research articles:

1. Ayyarao, TummalaS LV, N. S. S. RamaKrishna, Rajvikram Madurai Elavarasam, Nishanth Polumahanthi, M. Rambabu, Gaurav Saini, Baseem Khan, and Bilal Alatas. "War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization." IEEE Access (2022).
2. Ayyarao, Tummala SLV, and Polamarasetty P. Kumar. "Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm." International Journal of Energy Research (2022).

Links of the articles:

War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization | IEEE Journals & Magazine | IEEE Xplore

Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm - Ayyarao - - International Journal of Energy Research - Wiley Online Library

A new version of the code will be added soon.

IEEE Keywords

• Optimization,
• Classification algorithms,
• Metaheuristics,
• Heuristic algorithms,
• Search problems,
• Convergence,
• Particle swarm optimization