Goal programming

About: Goal programming is a research topic. Over the lifetime, 4330 publications have been published within this topic receiving 117758 citations.

Note—An Efficient Goal Programming Algorithm Using Constraint Partitioning and Variable Elimination

Abstract: An efficient algorithm for solving linear goal programming problems using partitioning and elimination procedures is presented. The algorithm takes advantage of the definition of ordinal preemptive factors in the objective function inherent in most goal programming formulations. Preliminary results indicate that the partitioning algorithm is superior to the existing methods for solving goal programming problems.

An Overview of Optimization Formulations for Multiresponse Surface Problems

Abstract: Many industrial applications involve more than one quality characteristic. For example, in robust parameter design, the quality characteristics include the process mean and process variance. Such applications lead to multiresponse surface problems in which it is necessary to determine optimal operating conditions according to some specified optimization criterion involving the quality characteristics. The purpose of this article is to address this problem from a multiobjective decision-making framework. The foremost approaches in multiresponse optimization are categorized and integrated. Guidelines are presented to help select appropriate formulations. Moreover, the applicability and computational aspects of the methods in various decision-making contexts are discussed. Numerical examples are also provided. Copyright © 2012 John Wiley & Sons, Ltd.

Multi-objective programming and goal programming : theory and applications

Abstract: I: Invited Papers.- Multiple Objective Combinatorial Optimization - A Tutorial.- Analysis of Trends in Distance Metric Optimisation Modelling for Operational Research and Soft Computing.- MOP/GP Approaches to Data Mining.- Computational Investigations Evidencing Multiple Objectives in Portfolio Optimization.- Behavioral Aspects of Decision Analysis with Application to Public Sectors.- Optimization Models for Planning Future Energy Systems in Urban Areas.- Multiple Objective Decision Making in Past, Present, and Future.- Dynamic Multiple Goals Optimization in Behavior Mechanism.- II: General Papers - Theory.- An Example-Based Learning Approach to Multi-Objective Programming.- Support Vector Machines using Multi Objective Programming.- On the Decomposition of DEA Inefficiency.- An Approach for Determining DEA Efficiency Bounds.- An Extended Approach of Multicriteria Optimization for MODM Problems.- The Method of Elastic Constraints for Multiobjective Combinatorial Optimization and its Application in Airline Crew Scheduling.- Some Evaluations Based on DEA with Interval Data.- Possibility and Necessity Measures in Dominance-based Rough Set Approach.- Simplex Coding Genetic Algorithm for the Global Optimization of Nonlinear Functions.- On Minimax and Maximin Values in Multicriteria Games.- Backtrack Beam Search for Multiobjective Scheduling Problem.- Cones to Aid Decision Making in Multicriteria Programming.- Efficiency in Solution Generation Based on Extreme Ray Generation Method for Multiple Objective Linear Programming.- Robust Efficient Basis of Interval Multiple Criteria and Multiple Constraint Level Linear Programming.- An Interactive Satisficing Method through the Variance Minimization Model for Fuzzy Random Multiobjective Linear Programming Problems.- On Saddle Points of Multiobjective Functions.- An Application of Fuzzy Multiobjective Programming to Fuzzy AHP.- On Affine Vector Variational Inequality.- Graphical Illustration of Pareto Optimal Solutions.- An Efficiency Evaluation Model for Company System Organization.- Stackelberg Solutions to Two-Level Linear Programming Problems with Random Variable Coefficients.- On Inherited Properties for Vector-Valued Multifunctions.- Multicriteria Expansion of a Competence Set Using Genetic Algorithm.- Comparing DEA and MCDM Method.- Linear Coordination Method for Multi-Objective Problems.- Experimental Analysis for Rational Decision Making by Aspiration Level AHP.- Choquet Integral Type DEA.- Interactive Procedures in Hierarchical Dynamic Goal Programming.- Solution Concepts for Coalitional Games in Constructing Networks.- Multi-Objective Facility Location Problems in Competitive Environments.- Solving Portfolio Problems Based on Meta-Controled Boltzmann Machine.- Tradeoff Directions and Dominance Sets.- A Soft Margin Algorithm Controlling Tolerance Directly.- An Analysis of Expected Utility Based on Fuzzy Interval Data.- On Analyzing the Stability of Discrete Descriptor Systems via Generalized Lyapunov Equations.- Solving DEA via Excel.- III: General Papers - Applications.- Planning and Scheduling Staff Duties by Goal Programming.- An Interactive Approach to Fuzzy-based Robust Design.- A Hybrid Genetic Algorithm for solving a capacity Constrained Truckload Transportation with crashed customer.- A Multi-Objective Programming Approach for Evaluating Agri-Environmental Policy.- Improve the Shipping Performance of Build-to-ORder (BTO) Product in Semiconductor Wafer Manufacturing.- Competence Set Expansion for Obtaining Scheduling Plans in Intelligent Transportation Security Systems.- DEA for Evaluating the Current-period and Cross-period Efficiency of Taiwan's Upgraded Technical Institutes.- Using DEA of REM and EAM for Efficiency Assessment of Technology Institutes Upgraded from Junior Colleges: The Case in Taiwan.- The Comprehensive Financial Risk Management in a Bank - Stochastic Goal Programming Optimization.- The Effectiveness of the Balanced Scorecard Framework for E-Commerce.- A Study of Variance of Locational Price in a Deregulated Generation Market.- Pseudo-Criterion Approaches to Evaluating Alternatives in Mangrove Forests Management.- Energy-Environment-Cost Tradeoffs in Planning Energy Systems for an Urban Area.- DEA Approach to the Allocation of Various TV Commercials to Dayparts.- Analyzing Alternative Strategies of Semiconductor Final Testing.- A Discrete-Time European Options Model under Uncertainty in Financial Engineering.- Multipurpose Decision-Making in House Plan by Using AHP.

Enhanced Index Investing Based on Goal Programming

Abstract: Enhanced index investing involves tracking a benchmark index closely and using risk-controlled strategies to add modest value to the index. The typical approaches to construction of such portfolios involve subjective management judgments. A new approach to enhanced indexing instead formulates the problem as a dual-criteria goal programming problem. Unlike the traditional approaches, which require a fund manager to buy and sell stocks actively in order to improve returns, the proposed approach is based on the passive management of a small number of stocks. Empirical results from tests in the Taiwan stock market suggest the new approach incurs lower transaction costs and produces sustainable risk-controlled enhanced returns.

MOCACEF 1.0: Multiple objective capability based approach to form part-machine groups for cellular manufacturing applications

Abstract: A pre-emptive goal programming formulation is developed for concurrently forming independent part/machine cells. Machine independent capability units, which are known as Resource Elements (RE), are used to define processing requirements of parts and processing capabilities of machine tools. Representation of unique and shared capability boundaries of machine tools is possible via RE, which increases the opportunity to form independent manufacturing cells and efficient utilization of them. RE-based operation sequences, processing times, capacities, demand, cell sizes, cell flexibility, load balance between cells, cell interaction, copies of each machine type in the job shop are all considered in the problem formulation. The model is solved by a specially developed tabu search algorithm.