author : David W. Corne

The papers are collected into six parts: • Ant Colony Optimization • Differential Evolution • Immune Systems Methods • Memetic Algorithms • Scatter Search and Path Relinking • Emerging Ideas and Extensions

Contents

• David W. Corne, Marco Dorigo, Fred Glover.

Introduction to "New Ideas in Optimization"

• Marco Dorigo, Gianni Di Caro.

The Ant Colony Optimization Metaheuristic

• Thomas Stutzle, Marco Dorigo.

ACO Algorithms for the Quadratic Assignment Problem

• Rene Michel, Marti Middendorf.

An ACO Algorithm for the Shortest Common Supersequence Problem

• Luca Maria Gambardella, Eric Taillard, Giovanni Agazzi.

MACS-VRPTW: A Multiple Ant Colony System for Vehicle Routing Problems with Time Windows

• Kenneth V. Price.

An Introduction to Differential Evolution

• Rainer Storn.

Designing Digital Filters with Differential Evolution

• Jouni Lampinen, Ivan Zelinka.

Mechanical Engineering Design by Differential Evolution

• Ken Chisholm.

Co-Evolving Draughts Strategies with Differential Evolution

• Dipankar Dasgupta.

Information Processing in the Immune System

• Gary B. Lamont, Robert E. Marmelstein, David A. Van Veldhuizen.

A Distributed Architecture for a Self-Adaptive Computer Virus Immune System

• Emma Hart, Peter Ross.

The Evolution and Analysis of a Potential Antibody Library for Use in Job Shop Scheduling

• Prabhat Hajela, Jun Sun Yoo.

Immune Network Modelling in Design Optimization

• Pablo Moscato.

Memetic Algorithms: A Short Introduction

• Diana Holstein, Pablo Moscato.

Memetic Algorithms Using Guided Local Search: A Case Study

• Peter Merz, Bernd Freisleben.

Fitness Landscapes and Memetic Algorithm Design

• Regina Berretta, Pablo Moscato.

The Number Partitioning Problem: An Open Challenge for Evolutionary Computation?

• Pablo E. Coll, Guillermo A. Duran, Pablo Moscato.

On Worst-Case and Comparative Analysis as Design Principles for Efficient Recombination Operators: A Graph Coloring Case Study

• Fred Glover.

Scatter Search and Path Relinking

• Mohammad M. Amini, Bahram Alidaee, Gary A. Kochenberger.

A Scatter Search Approach to Unconstrained Quadratic Binary Programs

• Vicente Campos, Manuel Laguna, Rafael Marti.

Scatter Search for the Linear Ordering Problem

• Colin R. Reeves, Takeshi Yamada.

Goal-Oriented Path Tracing Methods

• Jan Paredis.

Constraint Satisfaction with Coevolution

• Robert G. Reynolds.

Cultural Algorithms: Theory and Applications

• James Kennedy, Russell C. Eberhart.

The Particle Swarm: Social Adaptation in Information Processing Systems

• Gusz Eiben, Jano van Hemert.

SAW-ing EAs: Adapting the Fitness Function for Solving Constrained Problems

• Riccardo Poli.

Parallel Distributed Genetic Programming

• Rafal Salustowicz, Jurgen Schmidhuber.

From Probabilities to Programs with Probabilistic Incremental Program Evolution

The five Parts are: • Evolutionary Creativity • Evolutionary Music • Creative Evolutionary Design • Evolutionary Art • Evolutionary Innovation

Contents

• Peter J. Bentley, David W. Corne.

An Introduction to Creative Evolutionary Systems

• Tim Taylor.

Creativity in Evolution: individuals, interactions, and environments

• Celestino Soddu.

Recognizability of the Idea: the evolutionary process of Argenia

• Mitchell Whitelaw.

Breeding Aesthetic Objects: art and artificial evolution

• Liane M. Gabora.

The Beer Can Theory of Creativity

• John A. Biles.

GenJam: Evolution of a jazz improviser

• Eduardo Reck Miranda.

On the Origins and Evolution of Music in Virtual Worlds

• Artemis Moroni, Jonatas Manzolli, Fernando J. Von Zuben, Ricardo Gudwin.

Vox Populi: evolutionary computation for music evolution

• Sam Woolf, Adrian Thompson.

The Sound Gallery---an interactive A-Life artwork

• John Frazer.

Creative Design and the Generative Evolutionary Paradigm

• John R. Koza, Forrest H. Bennett III, David Andre, Martin A. Keane.

Genetic Programming: biologically inspired computation that exhibits creativity in producing human-competitive results

• Helen Jackson.

Towards a Symbiotic Coevolutionary Approach to Architecture

• Peter von Buelow.

Using Evolutionary Algorithms to Aid Designers of Architectural Structures

• Steven Rooke.

Eons of Genetically Evolved Algorithmic Images

• Luigi Pagliarini, Henrik Hautop Lund.

Art, Robots, and Evolution as a Tool for Creativity

• Paul Brown.

Stepping Stones in the Mist

• Peter J. B. Hancock, Charlie D. Fouwd.

Evolutionary Generation of Faces

• Agoston E. Eiben, R. Nabuurs, I. Booij.

The Escher Evolver: evolution to the people

• Julian F. Miller, Tatiana Kalganova, Dominic Job, Natalia Lipnitskaya.

The Genetic Algorithm as a Discovery Engine: strange circuits and new principles

• Robert E. Smith, B. A. Dicke, B. Ravichandran, A. El-Fallah, R. K. Mehra.

Discovering Novel Fighter Combat Maneuvers: simulating test pilot creativity

• Derek S. Linden.

Innovative Antenna Design Using Genetic Algorithms

• Jordan B. Pollack, Hod Lipson, Sevan G. Ficici, Pablo Funes, Greg Hornby, Richard A. Watson.

Evolutionary Techniques in Physical Robots

• Shail Patel, Ian Stott, Manmohan Bhakoo, Peter Elliott.

Patenting Evolved Bacterial Peptides

The chapters are collected into five parts: • Introduction to the Concepts of Bioinformatics and Evolutionary Computation • Sequence and Structure Alignment • Protein Folding • Machine Learning and Inference • Feature Selection

Contents

• David W. Corne, Gary B. Fogel.

An Introduction to Bioinformatics for Computer Scientists

• Gary B. Fogel, David W. Corne.

An Introduction to Evolutionary Computation for Biologists

• Jacek Blazewic, Marta Kasprzak.

Determining Genome Sequences from Experimental Data Using Evolutionary Computation

• Joseph D. Szustakowski, Zhipeng Weng.

Protein Structure Alignment Using Evolutionary Computation

• Cedric Notredame.

Using Genetic Algorithms for Pairwise and Multiple Sequence Alignments

• Garrison W. Greenwood, Jae-Min Shin.

On the Evolutionary Search for Solutions to the Protein Folding Problem

• Gary B. Lamont, Laurence D. Merkle.

Toward Effective Polypeptide Structure Prediction with Parallel Fast Messy Genetic Algorithms

• Steffen Schulze-Kremer.

Application of Evolutionary Computation to Protein Folding with Specialized Operators

• Gary B. Fogel, Kumar Chellapilla, David B. Fogel.

Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks

• Emanuel Falkenauer, Arnaud Marchand.

Clustering Microarray Data with Evolutionary Algorithms

• Dan Ashlock, Jim Golden.

Evolutionary Computation and Fractal Visualization of Sequence Data

• Junji Kitagawa, Hitoshi Iba.

Identifying Metabolic Pathways and Gene Regulation Networks with Evolutionary Algorithms

• Bogdan Filipic, Janez Strancar.

Evolutionary Computational Support for the Characterization of Biological Systems

• Laetitia Jourdan, Clarisse Dhaenens-Flipo, El-Ghazali Talbi.

Discovery of Genetic and Environmental Interactions in Disease Data Using Evolutionary Computation

• Mark J. Embrechts, Muhsin Ozdemir, Larry Lockwood, Curt Breneman, Kristin Bennet, Dirk Devogelaere, Marcel Rijkaert.

Feature Selection Methods Based on Genetic Algorithms for in Silico Drug Design

• Jem J. Rowland.

Interpreting Analytical Spectra with Evolutionary Computation

Contents

• Peter Worth, Susan Stepney.

Growing Music: musical interpretations of L-Systems. 2005

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