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OR
2010
Springer
8 years 10 months ago
A new multi-objective optimization formulation for rail-car fleet sizing problems
Abstract With potential application to a variety of industries, fleet sizing problems present a prevalent and significant challenge for engineers and managers. This is especially t...
Hamid Reza Sayarshad, Timothy Marler
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
9 years 2 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann
COR
2010
117views more  COR 2010»
9 years 3 months ago
Performance optimization of open zero-buffer multi-server queueing networks
Abstract -- Open zero-buffer multi-server general queueing networks occur throughout a number of physical systems in the semi-process and process industries. In this paper, we eval...
R. Andriansyah, Tom Van Woensel, Frederico R. B. C...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
9 years 4 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
CEC
2009
IEEE
9 years 7 months ago
A simple multi-objective optimization algorithm for the urban transit routing problem
— The urban transit routing problem (UTRP) for public transport systems involves finding a set of efficient transit routes to meet customer demands. The UTRP is an NPHard, high...
Lang Fan, Christine L. Mumford, Dafydd Evans
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
9 years 7 months 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
2006
Springer
144views Optimization» more  GECCO 2006»
9 years 7 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
EVOW
2004
Springer
9 years 7 months ago
Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction
A novel approach for sensor planning, which incorporates multi-objective optimization principals into the autonomous design of sensing strategies, is presented. The study addresses...
Enrique Dunn, Gustavo Olague
PPSN
1998
Springer
9 years 8 months ago
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
Marco Laumanns, Günter Rudolph, Hans-Paul Sch...
EMO
2001
Springer
107views Optimization» more  EMO 2001»
9 years 8 months ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
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