Results 251 to 260 of about 12,176,108 (293)
Some of the next articles are maybe not open access.
An Adaptive Large Neighborhood Search Algorithm for the Resource-constrained Project Scheduling Problem [PDF]
, 2009 We present an application of an Adaptive Large Neighborhood Search (ALNS) algorithm to the Resource-constrained Project Scheduling Problem (RCPSP). The ALNS framework was first proposed by Pisinger and Røpke [19] and can be described as a large neighborhood search algorithm with an adaptive layer, where a set of destroy/repair neighborhoods compete to ...
Muller, Laurent Flindt
openaire +2 more sources
Adaptive large neighborhood search algorithm for multi-stage weapon target assignment problem
Computers and Industrial Engineering, 2023Zhihao Luo
exaly +3 more sources
A survey of adaptive large neighborhood search algorithms and applications
Computers & Operations Research, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Setyo Tri Windras Mara +4 more
openaire +1 more source
An Enhanced Adaptive Large Neighborhood Search Algorithm for the Capacitated Vehicle Routing Problem
2021 13th International Conference on Machine Learning and Computing, 2021Capacitated Vehicle Routing Problem (CVRP) is a representative type of Vehicle Routing Problem (VRP) and it is NP-hard. With the increase of the scale of the problem, the existing method is easy to fall into a local optimal solution, and the solution time is too long.
Haiping Zhang, Wang Yang
openaire +2 more sources
Distance-Based Adaptive Large Neighborhood Search Algorithm for Green-PDPTW
2020Green Pickup-and-Delivery Problem with Time-Windows (Green-PDPTW) is a new sub-problem of the Capacitated Vehicle Routing Problem (CVRP). It aims to solve PDPTW in a way that emits the least amount of greenhouse gases. Adaptive Large Neighborhood Search (ALNS) is a commonly used algorithm to solve such problems, but usually, it focuses more on ...
Jinying Lu, Hejiao Huang
openaire +1 more source
European Journal of Operational Research, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuehui Wu +2 more
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuehui Wu +2 more
openaire +1 more source
Engineering Applications of Artificial Intelligence, 2023
Operations Research (OR) analytics play a crucial role in optimizing decision-making processes for real-world problems. The assignment problem, with applications in supply chains, healthcare logistics, and production scheduling, represents a prominent optimization challenge. This paper focuses on addressing the Generalized Quadratic Assignment Problem (
Amir Mohammad Fathollahi-Fard +2 more
openaire +2 more sources
Operations Research (OR) analytics play a crucial role in optimizing decision-making processes for real-world problems. The assignment problem, with applications in supply chains, healthcare logistics, and production scheduling, represents a prominent optimization challenge. This paper focuses on addressing the Generalized Quadratic Assignment Problem (
Amir Mohammad Fathollahi-Fard +2 more
openaire +2 more sources
European Journal of Operational Research, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heinrich Kuhn +2 more
openaire +4 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heinrich Kuhn +2 more
openaire +4 more sources
Sustainable group tourist trip planning: An adaptive large neighborhood search algorithm
Expert Systems with ApplicationsThe tourism industry is a key driver of economic growth and contributes to the achievement of sustainability goals. This paper presents a multi-objective group tourist planning problem that considers economic, environmental, and social dimensions simultaneously.
Mansoureh Hasannia Kolaee +2 more
openaire +3 more sources