7th International Conference on Genetic Algorithms

Tutorial Information

ICGA-97 will begin with three parallel sessions of tutorials on Saturday. Conference attendees may attend up to three tutorials (one from each session) for a supplementary fee (see registration form).

Tutorial Sessions

Click on any title to go to the associated abstract.

Session I
10am - 12am

Session II
1pm - 3pm

Session III
3.30pm - 5.30m


Evolutionary Computation:
An Introduction
David Fogel

Genetic Programming
Pete Angeline

Some Alternative Viewpoints on GAs
Colin Reeves


Basic Genetic Algorithm Theory
Soraya Rana

Messy Genetic Algorithms
Hillol Kargupta

Evolutionary Computation for Multiobjective Optimization
Jeff Horn


Self-adaptation in Evolutionary Algorithms
Thomas Bäck

Advanced Genetic Algorithm Theory
Michael Vose

Constraint Satisfaction by Evolutionary Algorithms
Gusz Eiben



Niching methods and their applications
Sam Mahfoud

Evolutionary Neural Networks
Edmund Ronald


Evolutionary and Adaptive Search for Design Processes
Ian Parmee

Evolutionary Robotics
Takashi Gomi

Evolutionary Algorithms for CAD of Integrated Circuits
Rolf Drechsler

Tutorial Session II: 1:00 p.m. - 3:00 p.m.

  • I.E Evolutionary and Adaptive Search for Design Processes
  • Ian Parmee Plymouth Engineering Design Centre - UK

    The objective of the proposed tutorial is to illustrate the utility of various characteristics of evolutionary and adaptive search (ES/AS) algorithms during each stage of the design process. There are many examples of the application of evolutionary and adaptive search algorithms to specific well-defined problems from the engineering design domain . Little research effort, however, has been expended in moving from these well-defined problems to investigate the generic integration of ES/AS with each stage (ie conceptual, embodiment and detailed) of the engineering design process as a whole. The key word here is integration as opposed to application where a major requirement for success is the development of systems that can capture design heuristics through extensive designer interaction. Evolutionary and adaptive search techniques and strategies best suited to the differing requirements of the various design stages will be fully described and their performance illustrated upon real- world design problems.

    Some knowledge of Evolutionay Computing would be useful, though not required. The tutorial, especially the design related aspects, should be of interest to a wide range of delegates irrespective of their level of skills.

    Tutorial Session II: 1:00 p.m. - 3:00 p.m.

    Tutorial Session III: 3:30 p.m. - 5:30 p.m.