Results 41 to 50 of about 9,501,678 (288)
A machine learning framework for neighbor generation in metaheuristic search
Frontiers in Applied Mathematics and Statistics, 2023 This paper presents a methodology for integrating machine learning techniques into metaheuristics for solving combinatorial optimization problems. Namely, we propose a general machine learning framework for neighbor generation in metaheuristic search. We
Defeng Liu +3 more
doaj +1 more source
Algorithms, 2021 This paper presents an effective stochastic algorithm that embeds a large neighborhood decomposition technique into a variable neighborhood search for solving the permutation flow-shop scheduling problem. The algorithm first constructs a permutation as a
Mehrdad Amirghasemi
doaj +1 more source
Adaptive Large Neighborhood Search on the Graphics Processing Unit
European Journal of Operational Research, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lukas Bach +2 more
openaire +3 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 +3 more
openaire +4 more sources
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 +23 more
wiley +1 more source
Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]
Jisuanji kexue yu tansuoIn 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
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 +4 more
doaj +1 more source
Learning Large Neighborhood Search Policy for Integer Programming
CoRR, 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 +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source