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Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algorithms or to discover knowledge or patterns in...
Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyv?yl?Finland M. M. M?l?University of Jyv?yl?Finland P. Neittaanm?, University of Jyv?yl?Finland...
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering...
Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan?s Center for the Study of Complex Systems to facilitate the exchange of ideas and...
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control...
This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2007, held in Valencia, Spain in April 2007. The 55 revised full papers and 24...
Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large...
This book offers a clear and comprehensive introduction to the field of evolutionary computation: the use of evolutionary systems as computational processes for solving complex problems. Over...
The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the...
Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary...
For software to consistently deliver promised results, software development must mature into a true profession. Emergent Design points the way. As software continues to evolve and mature,...
Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little...
Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. Although more...
From the explosion of interest, research, and applications of evolutionary computation a new field emerges-evolutionary electronics. Focused on applying evolutionary computation concepts and...
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this...
Artificial intelligence?broadly defined as the study of making computers perform tasks that require human intelligence?has grown rapidly as a field of research and industrial application in...
In The Government Machine , Jon Agar traces the mechanization of government work in the United Kingdom from the nineteenth to the early twenty-first century. He argues that this transformation...
This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design....
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan?s Center for the Study of Complex Systems to facilitate the exchange of ideas and...
The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems,...
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In...
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan?s Center for the Study of Complex Systems to facilitate the exchange of ideas and...
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing...
The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating...
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values....
Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional expressions or syntax trees used in...
The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers in the area of Evolutionary Computation for a week of intensive interaction. The field of Evolutionary...
Evolvable hardware (EHW) refers to hardware whose architecture/structure and functions change dynamically and autonomously in order to improve its performance in carrying out tasks. The...
This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2006, held in Budapest, Hungary in April 2006....
This book offers a comprehensive introduction to learning classifier systems (LCS) ? or more generally, rule-based evolutionary online learning systems. LCSs learn interactively ? much like a...
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