Variable Neighborhood Search: 6th International Conference, Icvns 2018, Sithonia, Greece, October 4-7, 2018, Revised Selected Papers

ISBN-13: 9783030158422 / Angielski / Miękka / 2019 / 315 str.

Angelo Sifaleras; Said Salhi; Jack Brimberg

Spis treści

Improved variable neighbourhood search heuristic for quartet clustering.- On the k-medoids model for semi-supervised clustering.- Complexity and Heuristics for the Max Cut-Clique Problem.- A VNS approach to solve multi-level capacitated lotsizing problem with backlogging.- How to locate disperse obnoxious facility centers?.- Basic VNS algorithms for solving the pollution location inventory routing problem.- Less is More: The Neighborhood Guided Evolution Strategies convergence on some classic neighborhood operators.- New VNS variants for the Online Order Batching Problem.- An adaptive VNS and Skewed GVNS approaches for School Timetabling Problems.- Finding balanced bicliques in bipartite graphs using Variable Neighborhood Search.- General Variable Neighborhood Search for Scheduling Heterogeneous Vehicles in Agriculture.- Detecting weak points in networks using Variable Neighborhood Search.- A Variable neighborhood search with integer programming  for the zero-one Multiple-Choice Knapsack Problem with Setup .- A VNS-based Algorithm with Adaptive Local Search for Solving the Multi-Depot Vehicle Routing Problem.- Skewed Variable Neighborhood Search Method for the Weighted Generalized Regenerator Location Problem.- Using a variable neighborhood search to solve the single processor scheduling problem with time restrictions.- An Evolutionary Variable Neighborhood Descent for addressing an electric VRP variant.- A Variable Neighborhood Descent heuristic for the multi-quay Berth Allocation and Crane Assignment Problem under availability constraints.- A Variable Neighborhood Search approach for solving the Multidimensional Multi-way Number Partitioning Problem.- A general variable neighborhood search with Mixed VND for the multi-Vehicle multi-Covering Tour Problem.- A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem.- Studying the impact of perturbation methods on the efficiency of GVNS for the ATSP.- A general variable neighborhood search algorithm to solve vehicle routing problems with optional visits.