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» On Benchmarking Stochastic Global Optimization Algorithms
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ACIIDS
2012
IEEE
307views Database» more  ACIIDS 2012»
12 years 3 months ago
A Hybrid Evolutionary Imperialist Competitive Algorithm (HEICA)
This paper proposes a new approach by combining the Evolutionary Algorithm and Imperialist Competitive Algorithm. This approach tries to capture several people involved in communit...
Fatemeh Ramezani, Shahriar Lotfi, M. A. Soltani-Sa...
GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
14 years 1 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
AIR
2002
165views more  AIR 2002»
13 years 7 months ago
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
CEC
2011
IEEE
12 years 7 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
PPSN
2010
Springer
13 years 6 months ago
A Natural Evolution Strategy for Multi-objective Optimization
Abstract. The recently introduced family of natural evolution strategies (NES), a novel stochastic descent method employing the natural gradient, is providing a more principled alt...
Tobias Glasmachers, Tom Schaul, Jürgen Schmid...