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Goal programming

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


Papers
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Journal ArticleDOI
TL;DR: An algorithm for classifying elements with binary valued attributes so that the classes are similar to each other in terms of their mix of student attributes is described.
Abstract: This paper describes an algorithm for classifying elements with binary valued attributes so that the classes are similar. The problem chosen for discussing is that of allocating students to groups within an educational setting. Individual students are described by a set of binary-valued attributes. The objective of the algorithm is to create working groups which are similar to each other in terms of their mix of student attributes. The algorithm uses an information theory measure. The paper also compares the performance of the algorithm to a goal programming formulation of the problem.

40 citations

Journal ArticleDOI
TL;DR: A mixed integer multi-objective model is proposed which allows determining the number and typology of surgeries to be scheduled in each OR, day and session of a multiple day planning period, in context where each OR session of the planning horizon has already been assigned to a specialty.
Abstract: In this study, we propose a mixed integer multi-objective model which allows determining the number and typology of surgeries to be scheduled in each OR, day and session of a multiple day planning period, in context where each OR session of the planning horizon has already been assigned to a specialty, with the (multiple) objective of obtaining a desired: (i) patient due date fulfilment rate, (ii) OR utilisation, (iii) bed utilisation, (iv) number of scheduled surgeries. These objectives, reflect heterogeneous priorities of different stakeholders of the surgical scheduling process. To address the described multi-objective problem, we use a goal programming approach and we show how the exploration of the weight space, typical of such approach, can be more efficient if informed by a correlation analysis. The results presented in this study are based on real data from the Meyer University Children’s Hospital in Florence.

40 citations

Journal ArticleDOI
Mustafa Kumral1
TL;DR: The findings show that the approach gives rise to the profitability and can be used to generate mining schedules.

40 citations

Journal ArticleDOI
TL;DR: This work focuses on developing a two-phase fuzzy mathematical programming approach for solving the multi-objective PM decision problems in a fuzzy environment and yields an efficient solution and overall degree of decision maker (DM) satisfaction with the determined goal values.

40 citations

Journal ArticleDOI
TL;DR: This paper uses the multiple objective tabu search (MOTS) algorithm, which was proposed previously by the author to solve GP models, and shows that MOTS can be considered as a promising candidate tool for solving GP models.
Abstract: Goal programming (GP) is one of the most commonly used mathematical programming tools to model multiple objective optimisation (MOO) problems. There are numerous MOO problems of various complexity ...

40 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202335
202271
2021151
2020138
2019160
2018145