JOURNAL ARTICLE

Blended Biogeography Based Optimization for different economic load dispatch problem

Abstract

Blended Biogeography Based Optimization (B-BBO) is an extension to the Biogeography Based Optimization (BBO) technique. Here the blending operator is used in the migration operation of BBO, inspired by the blended crossover operator in Genetic Algorithm (GA). In this paper, the B-BBO technique is applied on economic load dispatch (ELD) problems. Two sample systems are taken with quadratic and valve point cost functions respectively to analyze the effect of blending for the solution of this problem using BBO. Our analysis concludes that computational time decreases effectively with the blending but objective function value increases. B-BBO is suitable to the cases where huge computational burden is a big problem.

Keywords:
Crossover Mathematical optimization Operator (biology) Computer science Genetic algorithm Quadratic equation Extension (predicate logic) Economic dispatch Point (geometry) Mathematics Artificial intelligence Electric power system

Metrics

6
Cited By
0.44
FWCI (Field Weighted Citation Impact)
20
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
© 2026 ScienceGate Book Chapters — All rights reserved.