PPSN
1998
Springer
13 years 8 months ago
1998
Springer
The facility design problem is a common one in manufacturing and service industries and has been studied extensively in the literature. However, restrictions on the scope of the de...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
This paper describes a system for simulating the evolution of artificial 2D plant morphologies. Virtual plant genotypes are inspired by the mathematical formalism known as Lindenma...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary d...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
Abstract. We introduce a class of embedded-particle models for describing the emergent computational strategies observed in cellular automata (CAs) that were evolved for performing...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
Abstract. In order to escape from local optima, it is standard practice to periodically restart a genetic algorithm according to some restart criteria/policy. This paper addresses ...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
This paper presents a comparative study of Evolutionary Algorithms (EAs) for Constraint Satisfaction Problems (CSPs). We focus on EAs where fitness is based on penalization of cons...