An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems
- 1 January 2009
- journal article
- review article
- Published by Inderscience Publishers in European J. of Industrial Engineering
- Vol. 3 (4), 379-423
- https://doi.org/10.1504/ejie.2009.027034
Abstract
The importance of studying public service systems and finding robust solutions to the problems encountered in public service management has increased considerably over the past decade. One of the main objectives is to find acceptable solutions to Public Service Problems (PSPs) within an affordable period of time. However, many PSPs remain difficult to solve within a reasonable time due to their complexity and dynamic nature. This requires solving PSPs with techniques which provide efficient algorithmic solutions. There has been increasing attention in the literature to solving PSPs through the use of Swarm Intelligence-Based Techniques (SIBTs) like ant colony optimisation, particle swarm optimisation, Bee(s) Algorithm (BA), etc. This paper presents a review of Swarm Intelligence (SI) applications in public services (including PSPs in specific application areas), as well as the models and SI algorithms that have been reported in the literature. [Received 30 January 2008; Revised 4 December 2008; Revised 17 March 2009; Accepted 23 March 2009]Keywords
This publication has 53 references indexed in Scilit:
- A software tool for teaching of particle swarm optimization fundamentalsAdvances in Engineering Software, 2008
- Ant colony optimization for power plant maintenance scheduling optimization—a five-station hydropower systemAnnals of Operations Research, 2007
- A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applicationsNatural Computing, 2007
- A review of particle swarm optimization. Part I: background and developmentNatural Computing, 2007
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithmJournal of Global Optimization, 2007
- Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources OptimizationWater Resources Management, 2006
- Solving the feeder bus network design problem by genetic algorithms and ant colony optimizationAdvances in Engineering Software, 2006
- Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement StrategyApplied Intelligence, 2006
- Ant colony optimization techniques for the vehicle routing problemAdvanced Engineering Informatics, 2004
- A MAX-MIN Ant System for the University Course Timetabling ProblemLecture Notes in Computer Science, 2002