Specializing Narrowing for Timetable Generation: A Case Study

Brauner, Nadia; Echahed, Rachid; Finke, Gerd; Gregor, H.; Prost, Frédéric

doi:10.1007/978-3-540-30557-6_4

Cited by 3 publications

(1 citation statement)

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“…In assignment problems, the Hungarian algorithm changes the weights in a matrix to locate the optimal assignment. Eventually, a new matrix is obtained in which the optimal assignment is identified [67].…”

Section: Hungarian Algorithm (Ha)mentioning

confidence: 99%

Overview of Multi-Objective Optimization Approaches in Construction Project Management

Alothaimeen¹,

Arditi²

2020

Multicriteria Optimization - Pareto-Optimality and Threshold-Optimality

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The difficulties that are met in construction projects include budget issues, contractual time constraints, complying with sustainability rating systems, meeting local building codes, and achieving the desired quality level, to name but a few. Construction researchers have proposed and construction practitioners have used optimization strategies to meet various objectives over the years. They started out by optimizing one objective at a time (e.g., minimizing construction cost) while disregarding others. Because the objectives of construction projects often conflict with each other, single-objective optimization does not offer practical solutions as optimizing one objective would often adversely affect the other objectives that are not being optimized. They then experimented with multi-objective optimization. The many multi-objective optimization approaches that they used have their own advantages and drawbacks when used in some scenarios with different sets of objectives. In this chapter, a review is presented of 16 multi-objective optimization approaches used in 55 research studies performed in the construction industry and that were published in the period 2012-2016. The discussion highlights the strengths and weaknesses of these approaches when used in different scenarios.

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Section: Hungarian Algorithm (Ha)mentioning

confidence: 99%