DefinePK

Abstract

In this paper the hybrid method, Non-dominated Sorted Genetic Algorithm (NSGA-II) and Population Variant Differential Evolution (PVDE) have been placed in effect in achieving the best optimal solution of Multi objective economic emission load dispatch optimization problem. In this technique latter one is used to enforce the assigned percent of the population and the remaining with the former one. Performance and convergence characteristics are achieved with this novel technique and Diversity preserving mechanism is achieved with concept of elitism and from the tradeoff curve the best optimal solution is predicted using fuzzy set theory. This methodology is validated on IEEE 30 bus system with six generators, IEEE 118 bus system with fourteen generators with and without Valve point loading effect and with a standard forty generator test system. The solutions are dissimilitude with the existing meta heuristic methods like Strength Pareto Evolutionary Algorithm-II, Multi objective differential evolution, Multi objective Particle Swarm optimization, Fuzzy clustering particle swarm optimization, Non-dominated sorting genetic algorithm-II.