Throughout the evolutionary history of this planet, biological
systems have been able to adapt, survive and ?ourish despite the
turmoils and upheavals of the environment. This ability has long
fascinated and inspired people to emulate and adapt natural
processes for application in the arti?cial world of human
endeavours. The realm of optimisation problems is no exception. In
fact, in recent years biological systems have been the inspiration
of the majority of meta-heuristic search algorithms including, but
not limited to, genetic algorithms, particle swarmoptimisation, ant
colony optimisation and extremal optimisation. This book presentsa
continuum ofbiologicallyinspired optimisation, from the theoretical
to the practical. We begin with an overview of the ?eld of
biologically-inspired optimisation, progress to presentation of
theoretical
analysesandrecentextensionstoavarietyofmeta-heuristicsand?nallyshow
application to a number of real-worldproblems. As such, it is
anticipated the book will provide a useful resource for reseachers
and practitioners involved in any aspect of optimisation problems.
The overviewof the ?eld is provided by two works co-authored by
seminal thinkers in the ?eld. Deb's "Evolution's Niche in
Multi-Criterion Problem Solving," presents a very comprehensive and
complete overview of almost all major issues in Evolutionary
Multi-objective Optimisation (EMO). This chapter starts with the
original motivation for developing EMO algorithms and provides an
account of some successful problem domains on which EMO has
demonstrated a clear edge over their classical counterparts.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
