A Lexicographic Nelder-Mead simulation optimization method to solve multi-criteria problems

Authors:
Glenn W. Kuriger;F. Hank Grant
Affiliations:
Department of Mechanical Engineering - Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA;Department of Industrial Engineering, University of Oklahoma, 100 East Boyd, Suite R-208, Norman, OK 73019, USA
Venue:
Computers and Industrial Engineering
Year:
2011

Citing 16
Cited 1

Nelder-Mead simplex modifications for simulation optimization

Management Science
Simulation optimization: methods and applications

Proceedings of the 29th conference on Winter simulation
A review of simulation optimization techniques

Proceedings of the 30th conference on Winter simulation
Multicriteria optimization of simulation models

WSC '91 Proceedings of the 23rd conference on Winter simulation
Simulation optimization methodologies

Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
A simulation aided solution to an MCDM problem

Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation optimization: a survey of simulation optimization techniques and procedures

Proceedings of the 32nd conference on Winter simulation
Simulation optimization: multi-response simulation optimization using stochastic genetic search within a goal programming framework

Proceedings of the 32nd conference on Winter simulation
Simulation with Visual Slam and Awesim

Simulation with Visual Slam and Awesim
Simulation optimization

Proceedings of the 33nd conference on Winter simulation
Healthcare II: multi-objective simulation optimization for a cancer treatment center

Proceedings of the 33nd conference on Winter simulation
Simulation optimization: simulation-based optimization

Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation optimization: simulation optimization

Proceedings of the 34th conference on Winter simulation: exploring new frontiers
General methodology 1: a robust simulation-based multicriteria optimization methodology

Proceedings of the 34th conference on Winter simulation: exploring new frontiers
A meta-heuristic based on simulated annealing for solving multiple-objective problems in simulation optimization

WSC '04 Proceedings of the 36th conference on Winter simulation
Multiobjective simulation optimization using an enhanced genetic algorithm

WSC '05 Proceedings of the 37th conference on Winter simulation

Energy evaluation method and its optimization models for process planning with stochastic characteristics: A case study in disassembly decision-making

Computers and Industrial Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Simulation optimization is an approach that is used to solve problems involving stochastic components. This paper presents a Lexicographic Nelder-Mead (LNM) based simulation optimization (LNM-SO) method to solve multi-criteria simulation optimization problems. The method is designed to be relatively easy-to-implement and be applicable to a wide range of problem domains. To effectively evaluate the overall performance of this method, a Time-Quality Estimator (TQE) was developed to evaluate the performance of LNM-SO in terms of both quality of solution and computational speed. Computational results of five different test problems showed that the method was highly effective.