Development of a distributed evolutionary computing package

K. C. Tan; W. Peng; T. H. Lee; J. Cai

doi:10.1109/CEC.2003.1299559

Development of a distributed evolutionary computing package

K. C. Tan
, W. Peng
, T. H. Lee
, J. Cai

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

Although evolutionary algorithm is a powerful optimization tool, its computation cost involved in terms of time and hardware increases as the size and complexity of the problem increases. In this paper, a Java-based distributed evolutionary computing package (Paladin-DEC) is presented by exploiting the inherent parallel nature of evolutionary algorithms. The package enhances the concurrent processing and performance of evolutionary algorithms by allowing inter-communications of subpopulations among various computers over the Internet. The Paladin-DEC is incorporated with the features of security, scalability and fault tolerance, and is capable of keeping data integrity throughout the computation. The effectiveness and advantages of the Paladin-DEC are illustrated through a case study of drug scheduling in cancer chemotherapy.

Original language	English
Title of host publication	2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
Publisher	IEEE
Pages	77-84
Volume	1
ISBN (Print)	0-7803-7804-0
DOIs	https://doi.org/10.1109/CEC.2003.1299559
Publication status	Published - 2003
Externally published	Yes
Event	2003 Congress on Evolutionary Computation (CEC 2003) - Canberra, Australia Duration: 8 Dec 2003 → 12 Dec 2003

Publication series

Name
Volume	1

Conference

Conference	2003 Congress on Evolutionary Computation (CEC 2003)
Place	Australia
City	Canberra
Period	8/12/03 → 12/12/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Keywords

distributed systems
Genetic algorithms and programming
parallel algorithms

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10.1109/CEC.2003.1299559

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title = "Development of a distributed evolutionary computing package",

abstract = "Although evolutionary algorithm is a powerful optimization tool, its computation cost involved in terms of time and hardware increases as the size and complexity of the problem increases. In this paper, a Java-based distributed evolutionary computing package (Paladin-DEC) is presented by exploiting the inherent parallel nature of evolutionary algorithms. The package enhances the concurrent processing and performance of evolutionary algorithms by allowing inter-communications of subpopulations among various computers over the Internet. The Paladin-DEC is incorporated with the features of security, scalability and fault tolerance, and is capable of keeping data integrity throughout the computation. The effectiveness and advantages of the Paladin-DEC are illustrated through a case study of drug scheduling in cancer chemotherapy. ",

keywords = "distributed systems, Genetic algorithms and programming, parallel algorithms",

author = "Tan, \{K. C.\} and W. Peng and Lee, \{T. H.\} and J. Cai",

year = "2003",

doi = "10.1109/CEC.2003.1299559",

language = "English",

isbn = "0-7803-7804-0",

volume = "1",

publisher = "IEEE",

pages = "77--84",

booktitle = "2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings",

address = "United States",

note = "2003 Congress on Evolutionary Computation (CEC 2003) ; Conference date: 08-12-2003 Through 12-12-2003",

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TY - GEN

T1 - Development of a distributed evolutionary computing package

AU - Tan, K. C.

AU - Peng, W.

AU - Lee, T. H.

AU - Cai, J.

PY - 2003

Y1 - 2003

N2 - Although evolutionary algorithm is a powerful optimization tool, its computation cost involved in terms of time and hardware increases as the size and complexity of the problem increases. In this paper, a Java-based distributed evolutionary computing package (Paladin-DEC) is presented by exploiting the inherent parallel nature of evolutionary algorithms. The package enhances the concurrent processing and performance of evolutionary algorithms by allowing inter-communications of subpopulations among various computers over the Internet. The Paladin-DEC is incorporated with the features of security, scalability and fault tolerance, and is capable of keeping data integrity throughout the computation. The effectiveness and advantages of the Paladin-DEC are illustrated through a case study of drug scheduling in cancer chemotherapy.

AB - Although evolutionary algorithm is a powerful optimization tool, its computation cost involved in terms of time and hardware increases as the size and complexity of the problem increases. In this paper, a Java-based distributed evolutionary computing package (Paladin-DEC) is presented by exploiting the inherent parallel nature of evolutionary algorithms. The package enhances the concurrent processing and performance of evolutionary algorithms by allowing inter-communications of subpopulations among various computers over the Internet. The Paladin-DEC is incorporated with the features of security, scalability and fault tolerance, and is capable of keeping data integrity throughout the computation. The effectiveness and advantages of the Paladin-DEC are illustrated through a case study of drug scheduling in cancer chemotherapy.

KW - distributed systems

KW - Genetic algorithms and programming

KW - parallel algorithms

UR - https://www.scopus.com/pages/publications/84901411811

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84901411811&origin=recordpage

U2 - 10.1109/CEC.2003.1299559

DO - 10.1109/CEC.2003.1299559

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-7804-0

VL - 1

SP - 77

EP - 84

BT - 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings

PB - IEEE

T2 - 2003 Congress on Evolutionary Computation (CEC 2003)

Y2 - 8 December 2003 through 12 December 2003

ER -

Development of a distributed evolutionary computing package

Abstract

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UN SDGs

Research Keywords

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