Results 61 to 70 of about 450,226 (197)
Parallel Hybrid Trajectory Based Metaheuristics for Real-World Problems [PDF]
, 2015 G. Luque, E. Alba, Parallel Hybrid Trajectory Based Metaheuristics for Real-World Problems, In Proceedings of Intelligent Networking and Collaborative Systems, pp.
Alba-Torres, Enrique +1 more
core +1 more source
AlgorithmsThis study focuses on the integrated scheduling issues of imaging and data transmission for Earth observation satellites, where each target needs to be imaged and transmitted within a feasible time window.
Guanfei Yu, Kunlun Zhang
doaj +1 more source
Learning Large Neighborhood Search Policy for Integer Programming
, 2021 We propose a deep reinforcement learning (RL) method to learn large neighborhood search (LNS) policy for integer programming (IP). The RL policy is trained as the destroy operator to select a subset of variables at each step, which is reoptimized by an IP solver as the repair operator.
WU, Yaoxin +3 more
openaire +3 more sources
Large neighborhood search for route and fleet optimization in frozen food distribution
OPSIThis study develops an optimization model to enhance the distribution efficiency of a frozen food distributor. The company faces operational inefficiencies due to excessive fleet capacity and conventional route assignment methods, which increase travel ...
Jonathan Andrepa Simbolon +6 more
doaj +1 more source
Jurnal Manajemen Industri dan Logistik, 2020 Two-echelon location routing problem (2E-LRP) is a problem that considers distribution problem in a two-level / echelon transport system. The first echelon considers trips from a main depot to a set of selected satellite.
Winarno (Universitas Singaperbangsa Karawang) +1 more
doaj +1 more source
Location and Routing Planning Considering Electric Vehicles with Restricted Distance in Agriculture
World Electric Vehicle Journal, 2020 Electric vehicles (EVs) are anticipated to play a critical role in the green transportation of the future. Logistics companies have started several projects operating with EVs in road transportation.
Chalermchat Theeraviriya +2 more
doaj +1 more source
An efficient General Variable Neighborhood Search for large Travelling Salesman Problem with Time Windows [PDF]
Yugoslav Journal of Operations Research, 2013 General Variable Neighborhood Search (GVNS) is shown to be a powerful and robust methodology for solving travelling salesman and vehicle routing problems.
Mladenović Nenad +2 more
doaj +1 more source
Comparison of heuristic approaches for the multiple depot vehicle scheduling problem [PDF]
, 2006 Given a set of timetabled tasks, the multi-depot vehicle scheduling problem is a well-known problem that consists of determining least-cost schedules for vehicles assigned to several depots such that each task is accomplished exactly once by a vehicle ...
Desaulniers, G. (Guy) +3 more
core
A variable neighborhood search simheuristic for project portfolio selection under uncertainty [PDF]
, 2018 With limited nancial resources, decision-makers in rms and governments face the task of selecting the best portfolio of projects to invest in. As the pool of project proposals increases and more realistic constraints are considered, the problem becomes
Döering, Jana +4 more
core +1 more source
Exhaustive Search-based Model for Hybrid Sensor Network
, 2012 A new model for a cluster of hybrid sensors network with multi sub-clusters is proposed. The model is in particular relevant to the early warning system in a large scale monitoring system in, for example, a nuclear power plant.
Akbar, Z. +3 more
core +1 more source