NDLI: Ant Colony Optimization for Configuration

Content Provider	IEEE Xplore Digital Library
Author	Albert, P. Henocque, L. Kleiner, M.
Copyright Year	2008
Description	Author affiliation: LSIS Lab., Univ. de St.-Jerome, Marseille (Henocque, L.; Kleiner, M.) \|\| ILOG S.A, Gentilly (Albert, P.)
Abstract	An inherent difficulty in enumerative search algorithms for optimisation is the combinatorial explosion that occurs when increasing the size of the input. Among incomplete algorithms that address this issue, ant colony optimization(ACO) uses a combination of random and heuristic methods plus reinforcement learning, which proved efficient on a wide range of CSPs problems. This paper presents results in applying an ACO-based algorithm to configuration, which to the best of our knowledge was never investigated before. We describe how the nature of unbounded configuration problems impacts the ACO approach due to the presence of set-variables with open domains. We propose an ACO framework able to deal with those issues through an original pheromone model and algorithm. We also present the use of particle swarm optimization (PSO) to converge towards good parameter sets. Finally, we provide early experimental results, both for random problem instances andthe "racks" optimisation problem.
Starting Page	247
Ending Page	254
File Size	343823
Page Count	8
File Format	PDF
ISBN	9780769534404
ISSN	10823409
DOI	10.1109/ICTAI.2008.144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization Object oriented modeling Explosions Large scale integration Laboratories Search methods Logic programming Artificial intelligence Learning Particle swarm optimization constraints Configuration Ant Colony Optimization stochastic search
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spatial Clustering with Obstacles Constraints by Ant Colony Optimization and Quantum Particle Swarm Optimization

The ELIS interpreter-oriented Lisp-based workstation

New Computational Model from Ant Colony

A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering

Generalized Particle Swarm Optimizer with Tracking Multiple Local Optima for Multimodal Functions Optimization

Ant Colony Optimization-Based Approach to Optimal Reactive Power Dispatch: A Comparison of Various Ant Systems

Consideration on Stimulative Processing for Queen Ant Strategy in Swarm Intelligence

Particle swarm optimization for macrocell overlap removal and placement

Research on Continuous Function Optimization Algorithm Based on Swarm-Intelligence

Ant Colony Optimization for Configuration

Similar Documents

Spatial Clustering with Obstacles Constraints by Ant Colony Optimization and Quantum Particle Swarm Optimization

The ELIS interpreter-oriented Lisp-based workstation

New Computational Model from Ant Colony

A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering

Generalized Particle Swarm Optimizer with Tracking Multiple Local Optima for Multimodal Functions Optimization

Ant Colony Optimization-Based Approach to Optimal Reactive Power Dispatch: A Comparison of Various Ant Systems

Consideration on Stimulative Processing for Queen Ant Strategy in Swarm Intelligence

Particle swarm optimization for macrocell overlap removal and placement

Research on Continuous Function Optimization Algorithm Based on Swarm-Intelligence

Ant Colony Optimization for Configuration