Results 281 to 290 of about 11,269,656 (310)

Neighborhood Discriminant Hashing for Large-Scale Image Retrieval

IEEE Transactions on Image Processing, 2015
With the proliferation of large-scale community-contributed images, hashing-based approximate nearest neighbor search in huge databases has aroused considerable interest from the fields of computer vision and multimedia in recent years because of its computational and memory efficiency.
Jinhui, Tang, Zechao, Li, Meng, Wang, Ruizhen, Zhao   +3 more
openaire   +2 more sources

Principles for the Design of Large Neighborhood Search

Journal of Mathematical Modelling and Algorithms, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carchrae, Tom, Beck, J. Christopher
openaire   +2 more sources

Hybridizations of evolutionary algorithms with Large Neighborhood Search

Computer Science Review, 2022
Recent developments of evolutionary algorithms (EAs) for discrete optimization problems are often characterized by the hybridization of EAs with local search methods, in particular, with Large Neighborhood Search. In this survey, we consider some of the most promising directions of this kind of hybridization and provide examples in the context of well ...
Christian Blum, Anton Eremeev, Yulia Zakharova   +2 more
openaire   +2 more sources

Hybridization Based on Large Neighborhood Search

2016
The type of algorithm addressed in this chapter is based on the following general idea. Given a valid solution to the tackled problem instance—henceforth called the incumbent solution—first, destroy selected parts of it, resulting in a partial solution. Then apply some other, possibly exact, technique to find the best valid solution on the basis of the
Christian Blum, Günther R. Raidl
openaire   +1 more source

Multi-objective multi-factorial memetic algorithm based on bone route and large neighborhood local search for VRPTW

IEEE Congress on Evolutionary Computation, 2020
Multi-tasking optimization (MTO) has attracted increasing attention in the domain of evolutionary computation. Different from single-tasking optimization, MTO can solve multiple optimization tasks simultaneously to improve the performance of solving each
Zifeng Zhou, Xiaoliang Ma, Zhengping Liang, Zexuan Zhu   +3 more
semanticscholar   +1 more source

A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows

Transportation Science, 2019
User-centered logistics that aim at customer satisfaction are gaining importance because of growing e-commerce and home deliveries. Customer satisfaction can be strongly increased by offering narrow delivery time windows. However, there is a tradeoff for
Michael Schneider, Maximilian Schiffer, G. Walther, H. Schaap   +3 more
semanticscholar   +1 more source

Efficient DTCNN implementations for large-neighborhood functions

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359), 2002
Most image processing tasks like pattern matching are defined in terms of large-neighborhood DTCNN templates, while most hardware implementations support only direct-neighborhood ones (3x3). Literature on DTCNN template decomposition shows that such large-neighborhood functions can be implemented as a sequence of successive direct-neighborhood ...
ter Brugge, M.H, Stevens, J.H, Nijhuis, J.A G, Spaanenburg, L   +3 more
openaire   +2 more sources

A Multi-paradigm Tool for Large Neighborhood Search

2013
We present a general tool for encoding and solving optimization problems. Problems can be modeled using several paradigms and/or languages such as: Prolog, MiniZinc, and GECODE. Other paradigms can be included. Solution search is performed by a hybrid solver that exploits the potentiality of the Constraint Programming environment GECODE and of the ...
CIPRIANO, Raffaele, DI GASPERO, Luca, DOVIER, Agostino   +2 more
openaire   +2 more sources

Large neighborhood search for LNG inventory routing

Journal of Heuristics, 2012
Liquefied Natural Gas (LNG) is steadily becoming a common mode for commercializing natural gas. Due to the capital intensive nature of LNG projects, the optimal design of LNG supply chains is extremely important from a profitability perspective. Motivated by the need for a model that can assist in the design analysis of LNG supply chains, we address an
Vikas Goel, Kevin C. Furman, Jin-Hwa Song, Amr S. El-Bakry   +3 more
openaire   +1 more source

A tabu-based adaptive large neighborhood search for scheduling unrelated parallel batch processing machines with non-identical job sizes and dynamic job arrivals

Flexible Services and Manufacturing Journal, 2023
Xin Xiao, Bin Ji, Samson S. Yu, Guohua Wu   +3 more
semanticscholar   +1 more source