An introduction to multiobjective simulation optimization

Cites Work

Multiple criteria decision analysis. State of the art surveys. In 2 volumes
On the quality of discrete representations in multiple objective programming
Multiple-gradient descent algorithm (MGDA) for multiobjective optimization
Solution approaches for the multiobjective stochastic programming
The normalized normal constraint method for generating the Pareto frontier
Survey of multi-objective optimization methods for engineering
Stochastic optimization over a Pareto set associated with a stochastic multi-objective optimization problem
Handbook of simulation optimization
Covers and approximations in multiobjective optimization
Stochastic multiobjective optimization: Sample average approximation and applications
Recent trends in metaheuristics for stochastic combinatorial optimization
A multi-objective genetic algorithm for robust flight scheduling using simulation
A simulation optimization method that considers uncertainty and multiple performance measures
Differentiated service inventory optimization using nested partitions and MOCBA
A multi-objective selection procedure of determining a Pareto set
A survey on metaheuristics for stochastic combinatorial optimization
Evolutionary multiobjective optimization in noisy problem environments
Integration of indifference-zone with multi-objective computing budget allocation
A simulated annealing technique for multi-objective simulation optimization
The heteroscedastic method: Multivariate implementation
A survey of multicriteria optimization or the vector maximum problem. I: 1776-1960
Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
Nonlinear multiobjective optimization
Steepest descent methods for multicriteria optimization.
Computation of ideal and Nadir values and implications for their use in MCDM methods.
Measuring the quality of discrete representations of efficient sets in multiple objective mathematical programming
Simulation budget allocation for further enhancing the efficiency of ordinal optimization
A box decomposition algorithm to compute the hypervolume indicator
Descent algorithm for nonsmooth stochastic multiobjective optimization
Multi-objective retrospective optimization using stochastic zigzag search
Sequential selection procedures: using sample means to improve efficiency
Optimization via simulation: A review
Scalarizing vector optimization problems
Multiple criteria decision analysis. State of the art surveys
Vilfredo Pareto and multi-objective optimization
A provably convergent heuristic for stochastic bicriteria integer programming
Computing the nadir point for multiobjective discrete optimization problems
Optimization over the Pareto outcome set associated with a convex bi-objective optimization problem: theoretical results, deterministic algorithm and application to the stochastic case
A survey of recent developments in multiobjective optimization
Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem
Robust multiobjective optimization \& applications in portfolio optimization
Ranking and selection for multiple performance measures using incomplete preference information
Multiobjective optimization using an adaptive weighting scheme
On Klee's measure problem for grounded boxes
Feature Article: Optimization for simulation: Theory vs. Practice
Sequential Sampling to Myopically Maximize the Expected Value of Information
Vector Optimization
A Multiple Attribute Utility Theory Approach to Ranking and Selection
The Heteroscedastic Method II: Simplified Sampling
A Broader View of Designing the Liver Allocation System
Stochastic Simulation Optimization for Discrete Event Systems
Discrete Optimization via Simulation Using COMPASS
A Bibliography on the Applications of Mathematical Programming Multiple-objective Methods
Adaptive Scalarization Methods in Multiobjective Optimization
Newton's Method for Multiobjective Optimization
Multiobjective Optimization Through a Series of Single-Objective Formulations
Application of Evolutionary Algorithms for Solving Multi-Objective Simulation Optimization Problems
Using Ranking and Selection to “Clean Up” after Simulation Optimization
Lectures on Stochastic Programming
A multivariate solution of the multivariate ranking and selection problem
Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization
On Sampling Rates in Simulation-Based Recursions
Industrial strength COMPASS
The stochastic root-finding problem
Integer-Ordered Simulation Optimization using R-SPLINE
Optimal Computing Budget Allocation to Select the Nondominated Systems—A Large Deviations Perspective
A Derivative-Free Trust-Region Method for Biobjective Optimization
Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data
Stochastically Constrained Ranking and Selection via SCORE
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation
Evolutionary Algorithms for Solving Multi-Objective Problems
Stochastic Algorithms: Foundations and Applications
Simulation optimization: a review of algorithms and applications
Stochastic multi-objective optimization: a survey on non-scalarizing methods
SCORE allocations for bi-objective ranking and selection
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item