Results 1 to 10 of about 2,283 (90)
Optimizing the Classic and the Energy-Efficient Permutation Flowshop Scheduling Problem with a Hybrid Tyrannosaurus Rex Optimization Algorithm [PDF]
This paper introduces a Hybrid Tyrannosaurus Rex Optimization Algorithm (Hybrid TROA) combined with Variable Neighborhood Search (VNS), two variations of the Path Relinking strategy, and a randomized Nawaz–Enscore–Ham (NEH) heuristic to address the ...
Maria Tsiftsoglou +2 more
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An innovative trajectory strategy was proposed and accessed for wire arc additive manufacturing (WAAM), applicable to different and more complex geometries, rather than being a single solution.
Rafael Pereira Ferreira, Américo Scotti
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Modeling Multi-Plant Capacitated Lot Sizing Problem with Interplant Transfer [PDF]
Lot sizing models involve operational and tactical decisions. These decisions may entail multi-level production processes such as assembly operations with multiple plants and limited capacities.
Amitkumar Patil +3 more
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Solving the mixed-model assembly line balancing problem type-I using a Hybrid Reactive GRASP
One of the most recent challenges that manufacturers confront is to respond on time to the variety of customers’ demands for different products. The Assembly line is the main element responsible for assembling products in manufacturing systems, and it ...
Lakhdar Belkharroubi, Khadidja Yahyaoui
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Commercial Territory Design for a Distribution Firm with New Constructive and Destructive Heuristics [PDF]
A commercial territory design problem with compactness maximization criterion subject to territory balancing and connectivity is addressed. Four new heuristics based on Greedy Randomized Adaptive Search Procedures within a location-allocation scheme for ...
Jaime Cano-Belmán +2 more
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Local search-based heuristics for the multiobjective multidimensional knapsack problem
In real optimization problems it is generally desirable to optimize more than one performance criterion (or objective) at the same time. The goal of the multiobjective combinatorial optimization (MOCO) is to optimize simultaneously r > 1 objectives.
Dalessandro Soares Vianna +1 more
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Local search-based heuristics for the multiobjective multidimensional knapsack problem
In real optimization problems it is generally desirable to optimize more than one performance criterion (or objective) at the same time. The goal of the multiobjective combinatorial optimization (MOCO) is to optimize simultaneously r > 1 objectives.
Dalessandro Soares Vianna +1 more
doaj +1 more source
Background Appointment non-attendance – often referred to as “missed appointments”, “patient no-show”, or “did not attend (DNA)” – causes volatility in health systems around the world. Of the different approaches that can be adopted to reduce patient non-
Kalin Werner +6 more
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Scheduling parallel extrusion lines [PDF]
This paper introduces the problem of scheduling jobs on parallel plastic extrusion lines where each line is composed of one or more than one extruder.
Fayez F. Boctor +2 more
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A greedy randomized adaptive search procedure application to solve the travelling salesman problem
The main objective of this article is to show an algorithm capable to find a minimal total length evaluation function roundtrip in symmetric Travelling Salesman Problem (TSP). Application of concepts related to Greedy Randomized Adaptive Search Procedure
Alvaro Neuenfeldt Júnior +1 more
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