Sciweavers

976 search results - page 18 / 196
» Multimodal Optimization Using a Bi-Objective Evolutionary Al...
Sort
View
EC
2008
153views ECommerce» more  EC 2008»
13 years 8 months ago
On Complexity of Optimal Recombination for Binary Representations of Solutions
We consider an optimization problem of finding the best possible offspring as a result of a recombination operator in an evolutionary algorithm, given two parent solutions. The op...
Anton V. Eremeev
PPSN
2010
Springer
13 years 7 months ago
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the `best' one? and the second one:...
Olaf Mersmann, Mike Preuss, Heike Trautmann
TEC
2002
133views more  TEC 2002»
13 years 8 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
CHINAF
2011
13 years 20 days ago
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all imm...
Xin Yu, Ke Tang, Xin Yao
CEC
2009
IEEE
14 years 3 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...