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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 10 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
CONSTRAINTS
2011
13 years 4 months ago
Solving Steel Mill Slab Problems with constraint-based techniques: CP, LNS, and CBLS
The Steel Mill Slab Problem is an optimization benchmark that has been studied for a long time in the constraint-programming community but was only solved efficiently in the two l...
Pierre Schaus, Pascal Van Hentenryck, Jean-Noë...
CEC
2010
IEEE
13 years 10 months ago
Constrained global optimization of low-thrust interplanetary trajectories
The optimization of spacecraft trajectories can be formulated as a global optimization task. The complexity of the problem depends greatly on the problem formulation, on the spacec...
Chit Hong Yam, David Di Lorenzo, Dario Izzo
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 3 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
ARCS
2004
Springer
14 years 2 months ago
Ant Colony Optimization for dynamic Traveling Salesman Problems
: This paper addresses the optimization of a dynamic Traveling Salesman Problem using the Ant Colony Optimization algorithm. Ants are social insects with limited skills that live i...
Carlos A. Silva, Thomas A. Runkler