NDLI: MDE based Memetic Algorithm using OpenMP and its application in engineering project scheduling problems with dynamic due dates

Content Provider	IEEE Xplore Digital Library
Author	Yan Yang Liu Ya-chen Du Liu-feng Chang Chun-guang Wang Da-zhi Wang Ding-wei
Copyright Year	2010
Description	Author affiliation: Institute of Systems Engineering, Northeastern University, Shenyang 110004, China (Wang Da-zhi; Wang Ding-wei) \|\| School of Mechatronics Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China (Du Liu-feng) \|\| School of Management, Shenyang Jianzhu University, Shenyang 110168, China (Yan Yang; Liu Ya-chen; Chang Chun-guang)
Abstract	A multi-population DE based Memetic Algorithm using OpenMP is proposed, and applied to a kind of engineering project problems which can be modeled by single machine total weighted tardiness problems with dynamic due dates. The multi-population scheme and a best-survival individual synchronous updating strategy are introduced to simultaneously refresh the sub-populations in the same thread. The searching ability of the algorithm is improved by the differential evolutionary Memetic algorithm which is formulated by incorporating a local search method for the best individual in each sub-population into DE. The effectiveness of the algorithm is proved by a series of engineering project scheduling based simulation experiments.
Starting Page	399
Ending Page	403
File Size	464773
Page Count	5
File Format	PDF
ISBN	9781424473311
e-ISBN	9781424473304
DOI	10.1109/ICLSIM.2010.5461394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Differential Evolutionary Multidimensional systems Mechatronics Memetic Algorithm Optimization methods Evolutionary computation Dynamic scheduling Scheduling Multi-population Application software Scheduling algorithm Concurrent computing Model driven engineering Engineering Project Single machine scheduling
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

A metaheuristic algorithm for simultaneous simulation optimization and applications to traveling salesman and job shop scheduling with due dates

A new differential evolution algorithm for dynamic scheduling problems with variant job weights

Develop a sub-population Memetic Algorithm for multi-objective scheduling problems

Particle swarm optimization for sequencing problems: a case study

A memetic algorithm for parallel batch machine scheduling with incompatible job families and dynamic job arrivals

A Fast Parallel Dynasearch Algorithm for Some Scheduling Problems

A decomposition based memetic multi-objective algorithm for continuous multi-objective optimization problem

OpenMP Parallel Optimal Path Algorithm and its Performance Analysis

A competitive evolution strategy memetic algorithm for unrelated parallel machine scheduling to minimize total weighted tardiness and flow time

MDE based Memetic Algorithm using OpenMP and its application in engineering project scheduling problems with dynamic due dates

Similar Documents

A metaheuristic algorithm for simultaneous simulation optimization and applications to traveling salesman and job shop scheduling with due dates

A new differential evolution algorithm for dynamic scheduling problems with variant job weights

Develop a sub-population Memetic Algorithm for multi-objective scheduling problems

Particle swarm optimization for sequencing problems: a case study

A memetic algorithm for parallel batch machine scheduling with incompatible job families and dynamic job arrivals

A Fast Parallel Dynasearch Algorithm for Some Scheduling Problems

A decomposition based memetic multi-objective algorithm for continuous multi-objective optimization problem

OpenMP Parallel Optimal Path Algorithm and its Performance Analysis

A competitive evolution strategy memetic algorithm for unrelated parallel machine scheduling to minimize total weighted tardiness and flow time

MDE based Memetic Algorithm using OpenMP and its application in engineering project scheduling problems with dynamic due dates