## Simple heuristics-based selection of guides for multi-objective PSO with an application to electrical distribution system planning

- N. C. Sahoo, S. Ganguly, D. Das
- Eng. Appl. of AI
- 2011

Highly Influenced

6 Excerpts

- Published 2006

This paper presents a multiobjective approach for the design of electrical distribution networks. The objectives are defined as a monetary cost index (including installation cost and energy losses cost) and a system failure index. The true Pareto-optimal solutions are found with a multiobjective genetic algorithm that employs an efficient variable encoding scheme and some problem-specific mutation and crossover operators. Results based on 21and 100-bus systems are presented. The information gained from the Pareto-optimal solution set is shown to be useful for the decision-making stage of distribution network evolution planning.

@inproceedings{Carrano2006ElectricDN,
title={Electric Distribution Network Multiobjective Design Using a Problem-Specific Genetic Algorithm},
author={Eduardo G. Carrano and Luiz A. E. Soares and Ricardo H. C. Takahashi and Rodney R. Saldanha and Oriane M. Neto},
year={2006}
}