Evolvable developmental systems

Associate Professor, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada 

Despite a mass of research activity in evolutionary computation (EC), activity that has led to solid theoretical results and realistic applications, there are still a number of perennial irritations that almost all EC techniques suffer from. First, the serious computational cost of evaluating numerous potential solutions (or individuals), over hundreds of iterations (or generations), places pragmatic and sometimes formal limitations on the use of EC in real-world applications with time-sensitive outputs, such as online multiprocessor scheduling. This real limitation deters many potential users from using or even considering the use of EC in heavy-duty engineering and scientific applications. 

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Our academic purpose in presenting various examples of evolvable developmental systems is to raise people s attention to the need for computational techniques that are... 

Discusses evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems... 

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