Special Issue on: Advances in Evolutionary Computation for Design and Manufacturing problems
There is an ever-increasing demand for the manufacturing industry to become more robust and flexible, more responsive and to be competitive through greater efficiency. Design problems are independently becoming more complex. In order to succeed under such circumstances, problems have to be solved within a reasonable time with or without exact results.
Traditional methods often employed to solve complex optimisation problems in the design and manufacturing industry tend to inhibit elaborate exploration of the search space, often resulting in suboptimal solutions. The advances in Evolutionary Computation (EC) are generating considerable interest for solving these problems. It is proving robust in delivering global optimal solutions and helps to resolve limitations encountered in traditional methods. EC harnesses the power of natural selection to turn computers into optimisation tools. Most industrial processes are large scale, high dimensional, non-linear and uncertain with highly skilled operators to control the process plants. While many issues have been addressed in recent research efforts, limitations to wider applications of these techniques to the fields of design and manufacturing still exist, which restrict more realistic solutions from being achieved. Current challenges
include, for example, complexity of the search space, nature of constraints, multiple objectives, and search within integrated qualitative/quantitative space.
We are inviting people from academia and industry to submit papers on their recent research experience considering the following problem solving methods to be applied to design and manufacturing problems.
The subjects included (but not limited to) are:-
* Evolutionary algorithms/programming
* Ant colonies optimisation
* Particle swarm optimisation
* Memetic algorithms
* Local search with evolution
* Meta heuristics (Taboo search, simulated annealing etc)
* Parallel and distributed Evolutionary systems
* Quantum computing with evolutionary algorithms
Important Dates:
Paper submission: 30 June 2005
Notification of Acceptance: 30 October 2005
Final Submission: 18 December 2005
Publication: May 2006
Guest editors:
Dr. M. Emin AYDIN
London South Bank University
BCIM, 103 Borough Rd.,
London, SE1 0AA, UK
aydinme@lsbu.ac.uk
Prof. Terence C. Fogarty
London South Bank University
BCIM, 103 Borough Road,
London, SE1 0AA, UK
fogarttc@lsbu.ac.uk