Colin R. Reeves - researchr alias

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Viewing Publication 1 - 37 from 37

2007

A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and PredictabilityJun He, Colin R. Reeves, Carsten Witt, Xin Yao. ec, 15(4):435-443, 2007. [doi]

Evolutionary computation: a unified approachColin R. Reeves. gpem, 8(3):293-295, 2007. [doi]

Landscapes, Embedded Paths and Evolutionary SchedulingColin R. Reeves. In Keshav P. Dahal, Kay Chen Tan, Peter I. Cowling, editors, Evolutionary Scheduling. Volume 49 of Studies in Computational Intelligence, pages 31-48, Springer, 2007. [doi]

2006

The Container Transshipment Problem: Searching Representation Landscapes with Metaheuristic AlgorithmsDan Scott, Andy Verity-Harrison, Colin R. Reeves. jmma, 5(3):273-289, 2006. [doi]

2004

04081 Abstracts Collection - Theory of Evolutionary AlgorithmsHans-Georg Beyer, Thomas Jansen, Colin R. Reeves, Michael D. Vose. Dagstuhl 2006: [doi]

Estimating the Number of Solutions for SAT ProblemsColin R. Reeves, Mériéma Aupetit-Bélaidouni. ppsn 2004: 101-110 [doi]

Statistical analysis of local search landscapesColin R. Reeves, Anton V. Eremeev. jors, 55(7):687-693, 2004. [doi]

2003

On Confidence Intervals for the Number of Local OptimaAnton V. Eremeev, Colin R. Reeves. evoW 2003: 224-235 [doi]

Applying Genetic Algorithms to Container TranshipmentColin R. Reeves, Daniel Scott, Andy Harrison. icannga 2003: 234-238 [doi]

2002

2001

Constructive and composite heuristic solutions to the P// Sigma C::i:: scheduling problemJiyin Liu, Colin R. Reeves. eor, 132(2):439-452, 2001. [doi]

Genetic algorithms and grouping problemsColin R. Reeves. tec, 5(3):297-298, 2001.

2000

Automatic Detection of Ships in Spaceborne SAR ImageryKarl Benson, David Booth, James Cubillo, Colin R. Reeves. gecco 2000: 767

Experiments with Tuneable Fitness LandscapesColin R. Reeves. ppsn 2000: 139-148

Direct Statistical Estimation of GA Landscape PropertiesColin R. Reeves. foga 2001: 91-107 [doi]

1999

Fitness Landscapes and Evolutionary AlgorithmsColin R. Reeves. ae 2000: 3-20

Predictive measures for problem difficultyColin R. Reeves. cec 1999: 736-743 [doi]

The Effect of Degenerate Coding on Genetic AlgorithmsColin R. Reeves, Ping Dai. icannga 1999: 208-213 [doi]

1998

Selection of Training Data for Neural Networks by a Genetic AlgorithmColin R. Reeves, Stewart J. Taylor. ppsn 1998: 633-642 [doi]

Genetic Algorithms, Path Relinking, and the Flowshop Sequencing ProblemColin R. Reeves, Takeshi Yamada. ec, 6(1):45-60, 1998.

1997

Genetic Algorithms for the Operations ResearcherColin R. Reeves. informs, 9(3):231-250, 1997. [doi]

Genetic Algorithms: No Panacea, but a Valuable Tool for the Operations ResearcherColin R. Reeves. informs, 9(3):263-265, 1997. [doi]

Genetic Algorithms versus Experimental Methods: A Case StudyColin R. Reeves, Christine C. Wright. icga 1997: 214-220

1996

Are Long Path Problems Hard for Genetic Algorithms?Christian Höhn, Colin R. Reeves. ppsn 1996: 134-143

1995

1994

Genetic Algorithms and Neighbourhood SearchColin R. Reeves. aisb 1994: 115-130

An Experimental Design Perspective on Genetic AlgorithmsColin R. Reeves, Christine C. Wright. foga 1995: 7-22

Radial Basis Function Neural Networks in Fuzzy Logic based ControlNigel Steele, Colin R. Reeves, M. Nicholas, Paul John King. appinf 1994: 71-74

1993

Using Genetic Algorithms with Small PopulationsColin R. Reeves. icga 1993: 92-99

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