Civilized Swarm Optimization for Combined Heat and Power Economic Emission Dispatch

摘要

This paper presents civilized swarm optimization for solving combined heat and power economic emission dispatch problem. The problem is a nonlinear constrained multi-objective optimization problem. Civilized swarm optimization to handle economic emission dispatch as a true multi-objective optimization problem with equality, inequality, and feasible operating region constraints. The CSO algorithm is illustrated for the test system and the test results are compared with the real-coded genetic algorithm (RCGA), non-dominated sorting genetic algorithm II (NSGA-II), strength Pareto evolutionary algorithm 2 (SPEA2) and lexicographic optimization is to verifying the superiority of the presented approach for lower total cost and emission.