EOR
2008
13 years 4 months ago
2008
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
EOR
2008
13 years 4 months ago
2008
Several optimization problems require finding a permutation of a given set of items that minimizes a certain cost function. These problems are naturally modelled in graph-theory t...
EOR
2008
13 years 4 months ago
2008
Constrained Optimization Problems (COP) often take place in many practical applications such as kinematics, chemical process optimization, power systems and so on. These problems ...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Recent years have seen an explosion of interest in lift and project methods, such as those proposed by Lov
COR
2008
13 years 4 months ago
2008
We study the viability of different robust optimization approaches to multiperiod portfolio selection. Robust optimization models treat future asset returns as uncertain coefficie...
COR
2010
13 years 4 months ago
2010
The purpose of this paper is to apply the scatter search methodology to general classes of binary problems. We focus on optimization problems for which the solutions are represent...
CCE
2008
13 years 4 months ago
2008
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
WSC
2004
13 years 5 months ago
2004
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...