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GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
14 years 5 days ago
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characte...
Antony W. Iorio, Xiaodong Li
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 2 months ago
An extended mutation concept for the local selection based differential evolution algorithm
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
Jani Rönkkönen, Jouni Lampinen
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 9 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
ASIAMS
2008
IEEE
14 years 3 months ago
Optimization of a Kraft Pulping System: Using Particle Swarm Optimization and Differential Evolution
Expectation of profit is the economic driving force motivating business activity in a free-enterprise economy. An increase in this profit for a given organization can be accomplis...
Millie Pant, Radha Thangaraj, Ajith Abraham