Sciweavers

904 search results - page 124 / 181
» The State Problem for Evolutionary Testing
Sort
View
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 4 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
GECCO
2004
Springer
15 years 3 months ago
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
AI
1998
Springer
15 years 2 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih
AICCSA
2001
IEEE
112views Hardware» more  AICCSA 2001»
15 years 1 months ago
Implementation of DDARC: Software Architecture for Debugging Distributed Programs
Debugging and testing is a larger part of the effort spent in a software development cycle. Debugging a program is time consuming and is a continuous cycle of code modification an...
Sushma Rai, D. Sampath, Srivathsa N. S.
CORR
2010
Springer
125views Education» more  CORR 2010»
14 years 10 months ago
Critical control of a genetic algorithm
Based on speculations coming from statistical mechanics and the conjectured existence of critical states, I propose a simple heuristic in order to control the mutation probability...
Raphaël Cerf