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» Software Test Data Generation using Ant Colony Optimization
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CEC
2005
IEEE
13 years 11 months ago
Performance of aggregation pheromone system on unimodal and multimodal problems
This paper describes and analyzes the aggregation pheromone system (APS) algorithm, which extends ant colony optimization (ACO) to continuous domains. APS uses the collective behav...
Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
TEC
2008
98views more  TEC 2008»
13 years 5 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
14 years 2 days ago
Using automated search to generate test data for matlab
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
Sion Ll Rhys, Simon M. Poulding, John A. Clark
KBSE
1998
IEEE
13 years 9 months ago
Automated Software Test Data Generation for Complex Programs
We report on GADGET, a new software test generation system that uses combinatorial optimization to obtain condition/decision coverage of C/C++ programs. The GADGET system is fully...
Christoph C. Michael, Gary McGraw
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
ACOhg: dealing with huge graphs
Ant Colony Optimization (ACO) has been successfully applied to those combinatorial optimization problems which can be translated into a graph exploration. Artificial ants build s...
Enrique Alba, J. Francisco Chicano