Variable neighbourhood Search (VNS)
A hybridisation of adaptive variable neighbourhood search and large neighbourhood search: Application to the vehicle routing problem
... adaptive variable neighbourhood search (AVNS) algorithm that incorporates large neighbourhood search (LNS) as a diversification strategy is pro- posed and applied to the capacitated ...
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Variable Neighbourhood Search for the Global Optimization of Constrained NLPs
... 2 Faculty of Mathematics, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia and Montenegro, [email protected] Abstract We report on the theory and implementation of a global optimization solver for ...
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A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
... 2 VARIABLE NEIGHBOURHOOD SEARCH WITH COMPOUND NEIGHBOURHOODS We propose compound neighbourhood operators into the General VNS (VNS-C) in this ...existing neighbourhood op- erators, the ...
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A Variable Neighbourhood Search for nurse scheduling with balanced preference satisfaction
... a Variable Neighbourhood Search (VNS) metaheuristic algorithm to tackle this problem, incorporating two novel heuristics tailored to the ...the search space using a priority list of candidate ...
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A Variable Neighbourhood Search for nurse scheduling with balanced preference satisfaction
... a Variable Neighbourhood Search (VNS) metaheuristic algorithm to tackle this problem, incorporating two novel heuristics tailored to the ...the search space using a priority list of candidate ...
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Variable neighbourhood search based heuristic for K-harmonic means clustering
... the Variable neighbourhood search method was developed by Mladenovi´c and Hansen [ 60 ...single neighbourhood of data may not be the local optimum of another ...several neighbourhood ...
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Electric Transmission Network Expansion Planning with the Metaheuristic Variable Neighbourhood Search
... metaheuristic variable neighbourhood search ...structure neighbourhood within a local algorithm and makes the choices of implementation that integrate intensification and/or diversification ...
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Some applications of continuous variable neighbourhood search metaheuristic (mathematical modelling)
... Several years ago circle packing problems (CPP) in the plane have been formulated as nonconvex optimisation problems. Chapter 4 is based on (Rajab et al., October 2011) and it proposes applying the idea of reformulation ...
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Greedy Randomized Adaptive Search and Variable Neighbourhood Search for the minimum labelling spanning tree problem
... (2006) and the Pilot Method (PILOT) of Cerulli et al. (2005). Furthermore, some new implementations for the MLST problem have been proposed: a Greedy Randomized Adaptive Search Procedure (GRASP) and a basic ...
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Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem
... and variable neighbourhood search to obtain results which would not be obtained using either of these algorithms ...the search space in order to find solutions which improve the number of soft ...
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A Hybrid Water Flow-Like Algorithm and Variable Neighbourhood Search for Traveling Salesman Problem
... Abstract—Various metaheuristic methods have been proposed earlier and applied for solving the Travelling Salesman Problem (TSP). Water Flow Algorithm (WFA) is one of the recent population-based metaheuristic optimization ...
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Solving Large p-median Problems by a Multistage Hybrid Approach Using Demand Points Aggregation and Variable Neighbourhood Search
... a Variable Neighbourhood Search (VNS) is designed to solve large-scale p-median ...a neighbourhood reduction scheme when allocating demand points to their nearest ...
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Genetic Algorithm and Variable neighbourhood search for BDD Variable Ordering Problem
... and variable neighbourhood search ...of variable neighbourhood search can help the genetic algorithm to find better ...other search local strategies more adapted to the BDD ...
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Variable neighbourhood search for the minimum labelling Steiner tree problem
... the Variable Neighbourhood Search that we propose is the most effective metaheuristic for the problem, obtaining high quality solutions in short computational running ...
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Variable neighbourhood search for the minimum labelling Steiner tree problem
... the Variable Neighbourhood Search metaheuristic is the most effective approach to the problem, obtaining high quality solutions in short computational running ...
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Composing first species counterpoint with a variable neighbourhood search algorithm
... Composing music is computationally complex, especially since the number of possible melodies rises exponentially with the length (number of notes) of the melody to compose. Heuristic or metaheuristic optimisation ...
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The heterogeneous fleet vehicle routing problem with light loads and overtime: Formulation and population variable neighbourhood search with adaptive memory
... Population Variable Neighbourhood Search algorithm is designed to address this real life logistic ...hybridization search that considers both memory extraction and ...
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The cumulative capacitated vehicle routing problem with min-sum and min-max objectives: An effective hybridisation of adaptive variable neighbourhood search and large neighbourhood search
... that may not have been visited before. Using the LNS, some customers are removed and then 330 reinserted back to the routes to produce a new solution. As the success of this algorithm de- pends highly on the ...
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Heuristics based on greedy randomized adaptive search and variable neighbourhood search for the minimum labelling spanning tree problem
... Algorithm 3. The Pilot Method for the MLST problem (Cerulli et al., 2005). 3.3 Greedy Randomised Adaptive Search Procedure: The difficulty with the classical version of MVCA is when it finds more than one colour ...
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The Multiple Trip Vehicle Routing Problem with Backhauls: Formulation and a Two-Level Variable Neighbourhood Search
... Τηε νοτιον οφ mανιπυλατινγ τηε ποωερ οφ σεϖεραλ νειγηβουρηοοδ στρυχτυρεσ ασ λοχαλ σεαρχηεσ ωιτηιν α λοχαλ σεαρχη φραmεωορκ ωασ οριγιναλλψ δεϖελοπεδ βψ Σαληι ανδ Σ[r] ...
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