An effective modified binary particle swarm optimization (mBPSO) algorithm for multi-objective resource allocation problem (MORAP)

Kun Fan; Weijia You; Yuanyuan Li

doi:10.1016/j.amc.2013.06.039

ScienceGate Book Chapters

JOURNAL ARTICLE

An effective modified binary particle swarm optimization (mBPSO) algorithm for multi-objective resource allocation problem (MORAP)

Kun Fan Weijia You Yuanyuan Li

Year: 2013 Journal: Applied Mathematics and Computation Vol: 221 Pages: 257-267 Publisher: Elsevier BV

DOI: 10.1016/j.amc.2013.06.039

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematical optimization Particle swarm optimization Convergence (economics) Computer science Algorithm Selection (genetic algorithm) Multi-swarm optimization Binary number Constraint (computer-aided design) Mathematics Artificial intelligence

Metrics

Cited By

3.30

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Vehicle Routing Optimization Methods

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

An effective modified binary particle swarm optimization (mBPSO) algorithm for multi-objective resource allocation problem (MORAP)

Metrics

Citation History

Topics

Related Documents

An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP)

A Modified Multi-objective Binary Particle Swarm Optimization Algorithm

Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Problems

Multi-criteria Human Resource Allocation for Optimization Problems Using Multi-objective Particle Swarm Optimization Algorithm

OFDM Systems Resource Allocation using Multi-Objective Particle Swarm Optimization