NDLI: An investigation of a tabu assisted hyper-heuristic genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Limin Han Kendall, G.
Copyright Year	2003
Description	Author affiliation: Sch. of Comput. Sci. & IT, Nottingham Univ., UK (Limin Han; Kendall, G.)
Abstract	This paper investigates a tabu assisted genetic algorithm based hyperheuristic (hyperTGA) for personnel scheduling problems. We recently introduced a hyperheuristic genetic algorithm (hyperGA) with an adaptive length chromosome which aims to evolve an ordering of low-level heuristics in order to find good quality solutions to given problems. The addition of a tabu method, the focus of this paper, extends that work. The aim of adding a tabu list to the hyperGA is to indicate the efficiency of each gene within the chromosome. We apply the algorithm to a geographically distributed training staff and course scheduling problem and compare the computational results with our previous hyperGA.
Sponsorship	Air Force Iffice of Sci. Res. Asian Office of Aerospace Res and Development Army Res. Office - Far East CISCO Evoluationary Programming Soc. IEE Inst. of Engineers, Australia IEEE Neural Networks Soc. Univ. of New South Wales
Starting Page	2230
Ending Page	2237
File Size	518879
Page Count	8
File Format	PDF
ISBN	0780378040
DOI	10.1109/CEC.2003.1299949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-08
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Biological cells Processor scheduling Scheduling algorithm Robustness Hospitals Space exploration Computer science Personnel Algorithm design and analysis
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 Libarray 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

An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem

Investigation of a Tabu Assisted Hyper-Heuristic Genetic Algorithm (2003)

Process scheduling using genetic algorithms

A hybrid genetic algorithm with Lamarckian individual learning for tasks scheduling

Analysis of the hybrid scheduling algorithm in the gird environment

Heuristic techniques: scheduling partially ordered tasks in a multi-processor environment with tabu search and genetic algorithms

Review of task scheduling algorithms using genetic approach

Task Scheduling in Multiprocessor System Using Genetic Algorithm

A GA+TS Hybrid Algorithm for Independent Batch Scheduling in Computational Grids

An investigation of a tabu assisted hyper-heuristic genetic algorithm

Similar Documents

An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem

Investigation of a Tabu Assisted Hyper-Heuristic Genetic Algorithm (2003)

Process scheduling using genetic algorithms

A hybrid genetic algorithm with Lamarckian individual learning for tasks scheduling

Analysis of the hybrid scheduling algorithm in the gird environment

Heuristic techniques: scheduling partially ordered tasks in a multi-processor environment with tabu search and genetic algorithms

Review of task scheduling algorithms using genetic approach

Task Scheduling in Multiprocessor System Using Genetic Algorithm

A GA+TS Hybrid Algorithm for Independent Batch Scheduling in Computational Grids

An investigation of a tabu assisted hyper-heuristic genetic algorithm