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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
15 years 3 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...
ICPR
2008
IEEE
15 years 11 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
15 years 3 months ago
A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large
In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intell...
Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hun...
TAPIA
2005
ACM
15 years 3 months ago
On a global optimization technique for solving a nonlinear hyperboloid least squares problem
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...
Leticia Velázquez, Miguel Argáez, Br...