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EPIA
2007
Springer
16 years 1 months ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
ER
2007
Springer
142views Database» more  ER 2007»
16 years 1 months ago
Multidimensional Data Modeling for Business Process Analysis
The emerging area of business process intelligence attempts to enhance the analytical capabilities of business process management systems by employing data warehousing and mining t...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
16 years 1 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
181
Voted
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 1 months ago
Using group selection to evolve leadership in populations of self-replicating digital organisms
This paper describes a study in the evolution of distributed cooperative behavior, specifically leader election, through digital evolution and group selection. In digital evoluti...
David B. Knoester, Philip K. McKinley, Charles Ofr...
GECCO
2007
Springer
268views Optimization» more  GECCO 2007»
16 years 1 months ago
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
Joachim Becker, Stanis Trendelenburg, Fabian Henri...
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