Topic
Goal programming
About: Goal programming is a research topic. Over the lifetime, 4330 publications have been published within this topic receiving 117758 citations.
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TL;DR: The author recalls the early days of linear programming, the contributions of von Neumann, Leontief, Koopmans and others, and the results found by the simplex method.
139 citations
TL;DR: An improvedIS project selection methodology is presented that combines the recently applied IS project selection methodologies of the analytic hierarchy process (AHP) within a goal programming (GP) model framework.
138 citations
TL;DR: An attempt is made to review the literature on optimizing machining parameters in turning processes and the latest techniques for optimization include fuzzy logic, scatter search technique, genetic algorithm, Taguchi technique and response surface methodology.
Abstract: In this paper an attempt is made to review the literature on optimizing machining parameters in turning processes. Various conventional techniques employed for machining optimization include geometric programming, geometric plus linear programming, goal programming, sequential unconstrained minimization technique, dynamic programming etc. The latest techniques for optimization include fuzzy logic, scatter search technique, genetic algorithm, Taguchi technique and response surface methodology.
138 citations
TL;DR: To solve the model, an enumeration-followed-by-optimization approach is proposed which first computes feasible routes and then selects the set of best ones, and Computational results show that this approach is adequate for medium-sized delivery problems.
137 citations
TL;DR: An improved TI project selection methodology which reflects interdependencies among evaluation criteria and candidate projects using analytic network process (ANP) within a zero-one goal programming (ZOGP) model is suggested to be applied prior to GP formulation.
137 citations