All Outputs (126)

Memetic algorithms: The polynomial local search complexity theory perspective (2008)
Journal Article

In previous work (Krasnogor, http://www.cs.nott.ac.uk/~nxk/papers.html . In: Studies on the Theory and Design Space of Memetic Algorithms. Ph.D. thesis, University of the West of England, Bristol, UK, 2002; Krasnogor and Smith, IEEE Trans Evol Algori... Read More about Memetic algorithms: The polynomial local search complexity theory perspective.

Self-adaptation in evolutionary algorithms for combinatorial optimisation (2008)
Book Chapter

Feature selection using intensified tabu search for supervised classification (2008)
Book Chapter

Feature selection for heterogeneous ensembles of nearest neighbour classifiers using hybrid tabu search (2008)
Book Chapter

Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control (2008)
Presentation / Conference Contribution

A pre-processing optimisation is proposed that can be applied to the integer and mixed integer linear programming models that are used to solve the cell suppression problem in statistical disclosure control. In this paper we report our initial findin... Read More about Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control.

Improving our knowledge of metaheuristic approaches for cell suppression problem (2007)
Presentation / Conference Contribution

Computer vision applications - Special issue (2007)
Journal Article

This peer-reviewed international journal paper arose from a research collaboration which formed part of the PhD of a colleague and builds on previous conferences works [proceedings of "Adaptative Computing in Design and Manufacturing" 2002, 2005, pro... Read More about Computer vision applications - Special issue.

Parameter control in evolutionary algorithms (2007)
Journal Article

The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this paper we discuss how to do this, beginning with the issue of whether these values are best set in advance or are best changed... Read More about Parameter control in evolutionary algorithms.

On replacement strategies in steady state evolutionary algorithms (2007)
Journal Article

Steady State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This paper explores the use of mathematical models to characterise the selec... Read More about On replacement strategies in steady state evolutionary algorithms.

Coevolving memetic algorithms: A review and progress report (2007)
Journal Article

Coevolving memetic algorithms are a family of metaheuristic search algorithms in which a rule-based representation of local search (LS) is coadapted alongside candidate solutions within a hybrid evolutionary system. Simple versions of these systems h... Read More about Coevolving memetic algorithms: A review and progress report.

Improving nearest neighbor classifier using tabu search and ensemble distance metrics (2006)
Presentation / Conference Contribution

Gene libraries: Coverage, efficiency and diversity (2006)
Presentation / Conference Contribution

Gene libraries are a biological mechanism for generating combinatorial diversity in the immune system. However, they also bias the antibody creation process, so that they can be viewed as a way of guiding lifetime learning mechanisms. In this paper w... Read More about Gene libraries: Coverage, efficiency and diversity.

A tutorial for competent memetic algorithms: Model, taxonomy and design issues (2005)
Journal Article

The combination of evolutionary algorithms with local search was named "memetic algorithms" (MAs) (Moscato, 1989). These methods are inspired by models of natural systems that combine the evolutionary adaptation of a population with individual learni... Read More about A tutorial for competent memetic algorithms: Model, taxonomy and design issues.

A tutorial for competent memetic algorithms: Model, taxonomy, and design issues (2005)
Journal Article

The combination of evolutionary algorithms with local search was named "memetic algorithms" (MAs) (Moscato, 1989). These methods are inspired by models of natural systems that combine the evolutionary adaptation of a population with individual learni... Read More about A tutorial for competent memetic algorithms: Model, taxonomy, and design issues.

Recent advances in memetic algorithms (2005)
Book

Memetic evolutionary algorithms (2005)
Book Chapter

The co-evolution of memetic algorithms for protein structure prediction (2005)
Book Chapter

Book review: Introduction to evolutionary computing (2004)
Journal Article

Introduction to evolutionary computing (2004)
Journal Article

Authors' answer to the book review of Introduction to Evolutionary Computing Published in Issue 12: 2 (2004)
Journal Article