Results 61 to 70 of about 12,651,596 (195)
Adaptive Large Neighborhood Search
There has already been a lot of research on Local Search Heuristics in Computer Science. Local Search improves an initial solution by manipulating rather small parts of the solution.
Lutz, Roman
core +1 more source
This paper addresses the formation assignment problem for heterogeneous UAV swarms in dynamic mission environments. A constrained optimization model is constructed in which UAV capabilities are divided into shareable and exclusive types; a neighborhood ...
Zhenxing Zhang +5 more
doaj +1 more source
This is the experimental data of the manuscript entitled “A two-phase adaptive large neighborhood search algorithm for the collaborative electric location routing problem with battery-swapping stations considering range anxiety”.
Zhang Shuai (17710173) +3 more
core +1 more source
Adaptive particle swarm optimization [PDF]
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H. +3 more
core +1 more source
Time-dependent vehicle routing problem with time windows (TDVRPTW) is a pivotal problem in logistics domain. In this study, a special case of TDVRPTW with temporal-spatial distance (TDVRPTW-TSD) is investigated, which objectives are to minimize the total
Jia-ke Li, Jun-qing Li, Ying Xu
doaj +1 more source
Reinforced Adaptive Large Neighborhood Search
The Large Neighborhood Search metaheuristic for solving Constrained Optimization Problems has been proved to be effective on a wide range of problems.
Deville, Yves +3 more
core
Adaptive neighborhood search for nurse rostering [PDF]
This paper presents an adaptive neighborhood search method (ANS) for solving the nurse rostering problem proposed for the First International Nurse Rostering Competition (INRC-2010).
Z. Lü +5 more
core +1 more source
Robot mobile fulfillment systems (RMFSs), as human–robot collaborative smart warehouses, transform the traditional person-to-goods order picking mode into a goods-to-person mode.
Zhiheng Cai +3 more
doaj +1 more source
A new large neighborhood search based matheuristic framework for rich vehicle routing problems
In this paper a New Large Neighborhood Search Based Matheuristic Framework for Rich Vehicle Routing Problems is presented. The innovative aspect of the proposed approach concern the possibility to address large neighborhoods in reasonably small ...
MANCINI, SIMONA, Simona Mancini
core +1 more source
Deep Q-Learning Enhanced Variable Neighborhood Search for Influence Maximization in Social Networks [PDF]
A social network consists of individuals and the relationships between them, which often influence each other. This influence can propagate behaviors or ideas through the network, a phenomenon known as influence propagation.
Afifeh Maleki Ghalghachi, Mehdy Roayaei
doaj +1 more source

