Results 41 to 50 of about 452,067 (293)

Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]

Jisuanji kexue yu tansuo
In order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
doaj   +1 more source

Hybridizing large neighborhood search and exact methods for generalized vehicle routing problems with time windows

EURO Journal on Transportation and Logistics, 2021
Delivery options are at the heart of the generalized vehicle routing problem with time windows (GVRPTW) allowing that customer requests are shipped to alternative delivery locations which can also have different time windows.
Dorian Dumez, Christian Tilk, Stefan Irnich, Fabien Lehuédé, Olivier Péton   +4 more
doaj   +1 more source

A General Large Neighborhood Search Framework for Solving Integer Programs [PDF]

, 2020
This paper studies how to design abstractions of large-scale combinatorial optimization problems that can leverage existing state-of-the-art solvers in general purpose ways, and that are amenable to data-driven design.
Dilkina, Bistra, Lanka, Ravi, Song, Jialin, Yue, Yisong   +3 more
core  

Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign [PDF]

, 2016
Cross-selling campaigns seek to offer the right products to the set of customers with the goal of maximizing expected profit, while, at the same time, respecting the purchasing constraints set by investors. In this context, a bi-objective version of this
Coelho, B.N., Coelho, I.M., Coelho, V.N., Fleming, P.J., Guimaraes, F.G., Lust, T., Oliveira, T.A., Ramalhinho, H., Souza, M.J.F., Talbi, E-G.   +9 more
core   +3 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Modified ALNS Algorithm for a Processing Application of Family Tourist Route Planning: A Case Study of Buriram in Thailand

Computation, 2021
This research presents a solution to the family tourism route problem by considering daily time windows. To find the best solution for travel routing, the modified adaptive large neighborhood search (MALNS) method, using the four destructions and the ...
Narisara Khamsing, Kantimarn Chindaprasert, Rapeepan Pitakaso, Worapot Sirirak, Chalermchat Theeraviriya   +4 more
doaj   +1 more source

SLIDER: Mining correlated motifs in protein-protein interaction networks [PDF]

, 2009
—Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereby provide a computational method for predicting binding sites for protein ...
Boyen, P., Dijk, A.D.J., van, Ham, R.C.H.J., van, Neven, F.   +3 more
core   +2 more sources

Revisiting the Self-adaptive Large Neighborhood Search

, 2018
This paper revisits the Self-Adaptive Large Neighborhood Search introduced by Laborie and Godard. We propose a variation in the weight-update mechanism especially useful when the LNS operators available in the portfolio exhibit unequal running times. We also propose some generic relaxations working for a large family of problems in a black-box fashion.
Thomas, Charles, Schaus, Pierre, 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research   +2 more
openaire   +2 more sources

Large neighborhood search for multi-trip vehicle routing [PDF]

European Journal of Operational Research, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
François, Véronique, Arda, Yasemin, Crama, Yves, Laporte, Gilbert   +3 more
openaire   +3 more sources