Swarm Intelligence

5Novel Swarm Intelligence Optimization Algorithm (SIOA)

Abstract

In this chapter, a new way to optimize swarm called the water wave optimization (WWO) algorithm, will be given based on group knowledge, forging, and sparrow anti-predation. Studies regarding 19 benchmark problems were done to evaluate the salp swarm algorithm (SSA)’s performance, which was assessed compared to other methods such as brain storm optimization (BSO) and particle swarm optimization (PSO) algorithms. The simulation results suggested that in terms of accuracy, convergence speed, stability, and solidity, SSA is superior to WWO, PSO, and WSO algorithms. Finally, two actual engineering examples show the efficacy of the suggested SSA.

Keywords: Cultural algorithm, power constraint, water wave, refraction, brain storm, economic load dispatch, propagating, oscillations

5.1 Water Wave Optimization

Economic load dispatch (ELD) is a fundamental component of modern power systems’ optimum operation and regulation. Though the primary goal of the initial value problems is to lower total operating costs by selecting the best amalgamation of power outputs to meet actual power demands and setbacks, numerous restrictions, such as valve-point loadings, ramp-rate limits, prohibited operating zones and so on, make the optimization technique enormously unpredictable, particularly for larger energy systems.

Some physical constraints, such as machinery or auxiliary failures (boiler, feed pumps), force the units to have ...