scholarly journals Solution of The Combined Environmental Economic Dispatch Problem Using Multi-Objective Cat Swarm Optimization

2021 ◽  
Vol 13 (2) ◽  
pp. 271-286
Author(s):  
Sarat Kumar Mishra ◽  
◽  
Sudhansu Kumar Mishra ◽  
Keyword(s):  
Environmental Economic ◽  
Economic Dispatch ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Cat Swarm Optimization ◽  
Economic Dispatch Problem

scholarly journals A Novel Parallel SPEA2 for Solving the Environmental-Economic Dispatch Problem: Competitive vs Cooperative Approach

2020 ◽  
Author(s):  
João Pedro Augusto Costa ◽  
Omar Andres Carmona Cortes ◽  
Osvaldo Ronald Saavedra
Keyword(s):  
Genetic Algorithms ◽  
Particle Swarm Optimization ◽  
Environmental Economic ◽  
Differential Evolution ◽  
Economic Dispatch ◽  
Pareto Frontier ◽  
Parallel Model ◽  
Swarm Optimization ◽  
Cooperative Approach ◽  
Economic Dispatch Problem

This paper aims to compare two different parallel approaches (cooperative and competitive) of the SPEA2 for solving the environmental-economic dispatch problem. The idea is to solve the problem by executing the SPEA2 algorithm along with three different meta-heuristics (Genetic Algorithms, Particle Swarm Optimization, and Differential Evolution) to perform changes in the population. The different meta-heuristics work in parallel using two different approaches. The first one is the competitive approach, in which meta-heuristics compete for producing the best set of candidate solutions for solving the problem. Whereas, the cooperative approach selects the new population merging all individuals from all meta-heuristics, then selecting the solution set for the Pareto frontier. The proposal was implemented in C++ using MPI in a master-slave parallel model. Two  study cases were used: the first one with six generators and the second one with forty generators. Results showed that the cooperative approach presented the best Pareto frontier for the case of 40 generators.

Sign in / Sign up

Export Citation Format

Share Document