Directed intervention crossover applied to bio-control scheduling

Paul M. Godley; David E. Cairns; Julie Cowie

doi:10.1109/CEC.2007.4424531

Directed intervention crossover applied to bio-control scheduling

Paul M. Godley^*, David E. Cairns, Julie Cowie

^*Corresponding author for this work

Yunus Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the Calculated Expanding Bin (CaIEB) method and Targeted Intervention with Stochastic Selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Results indicate that these approaches lead to significant improvements over Uniform Crossover (UC) when a penalty is introduced for each intervention point used by the crossover algorithm.

Original language	English
Title of host publication	2007 IEEE Congress on Evolutionary Computation
Publisher	IEEE
Pages	638-645
Number of pages	8
ISBN (Print)	1424413400, 9781424413409
DOIs	https://doi.org/10.1109/CEC.2007.4424531
Publication status	Published - 7 Jan 2008
Event	IEEE Congress on Evolutionary Computation - , Singapore Duration: 25 Sept 2007 → 28 Sept 2007 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4424445

Conference

Conference	IEEE Congress on Evolutionary Computation
Abbreviated title	CEC 2007
Country/Territory	Singapore
Period	25/09/07 → 28/09/07
Internet address	https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4424445

Keywords

bio-control dynamic system;bio-control scheduling;calculated expanding bin;directed intervention crossover;stochastic selection;targeted intervention;uniform crossover;biocontrol;scheduling;stochastic processes;
evolutionary computation
Bio-Control
Scheduling
stochastic processes

ASJC Scopus subject areas

Artificial Intelligence
Software
Theoretical Computer Science

Documents and Links

10.1109/CEC.2007.4424531

Cite this

@inproceedings{9be184533155401cbadee0930f82580d,

title = "Directed intervention crossover applied to bio-control scheduling",

abstract = "This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the Calculated Expanding Bin (CaIEB) method and Targeted Intervention with Stochastic Selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Results indicate that these approaches lead to significant improvements over Uniform Crossover (UC) when a penalty is introduced for each intervention point used by the crossover algorithm.",

keywords = "bio-control dynamic system;bio-control scheduling;calculated expanding bin;directed intervention crossover;stochastic selection;targeted intervention;uniform crossover;biocontrol;scheduling;stochastic processes;, evolutionary computation , Bio-Control, Scheduling, stochastic processes",

author = "Godley, {Paul M.} and Cairns, {David E.} and Julie Cowie",

year = "2008",

month = jan,

day = "7",

doi = "10.1109/CEC.2007.4424531",

language = "English",

isbn = "1424413400",

pages = "638--645",

booktitle = "2007 IEEE Congress on Evolutionary Computation",

publisher = "IEEE",

address = "United States",

note = "IEEE Congress on Evolutionary Computation, CEC 2007 ; Conference date: 25-09-2007 Through 28-09-2007",

url = "https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4424445",

}

TY - GEN

T1 - Directed intervention crossover applied to bio-control scheduling

AU - Godley, Paul M.

AU - Cairns, David E.

AU - Cowie, Julie

PY - 2008/1/7

Y1 - 2008/1/7

N2 - This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the Calculated Expanding Bin (CaIEB) method and Targeted Intervention with Stochastic Selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Results indicate that these approaches lead to significant improvements over Uniform Crossover (UC) when a penalty is introduced for each intervention point used by the crossover algorithm.

AB - This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the Calculated Expanding Bin (CaIEB) method and Targeted Intervention with Stochastic Selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Results indicate that these approaches lead to significant improvements over Uniform Crossover (UC) when a penalty is introduced for each intervention point used by the crossover algorithm.

KW - bio-control dynamic system;bio-control scheduling;calculated expanding bin;directed intervention crossover;stochastic selection;targeted intervention;uniform crossover;biocontrol;scheduling;stochastic processes;

KW - evolutionary computation

KW - Bio-Control

KW - Scheduling

KW - stochastic processes

U2 - 10.1109/CEC.2007.4424531

DO - 10.1109/CEC.2007.4424531

M3 - Conference contribution

SN - 1424413400

SN - 9781424413409

SP - 638

EP - 645

BT - 2007 IEEE Congress on Evolutionary Computation

PB - IEEE

T2 - IEEE Congress on Evolutionary Computation

Y2 - 25 September 2007 through 28 September 2007

ER -

Directed intervention crossover applied to bio-control scheduling

Abstract

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

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Cite this