Reinforcement learning for combinatorial optimization: A survey
Many traditional algorithms for solving combinatorial optimization problems involve using
hand-crafted heuristics that sequentially construct a solution. Such heuristics are designed …
hand-crafted heuristics that sequentially construct a solution. Such heuristics are designed …
A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
Deep model reassembly
In this paper, we explore a novel knowledge-transfer task, termed as Deep Model
Reassembly (DeRy), for general-purpose model reuse. Given a collection of heterogeneous …
Reassembly (DeRy), for general-purpose model reuse. Given a collection of heterogeneous …
2022 roadmap on neuromorphic computing and engineering
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …
science. In the von Neumann architecture, processing and memory units are implemented …
Learning combinatorial optimization algorithms over graphs
The design of good heuristics or approximation algorithms for NP-hard combinatorial
optimization problems often requires significant specialized knowledge and trial-and-error …
optimization problems often requires significant specialized knowledge and trial-and-error …
Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical
variational algorithm designed to tackle combinatorial optimization problems. Despite its …
variational algorithm designed to tackle combinatorial optimization problems. Despite its …
[BOOK][B] Dependence modeling with copulas
H Joe - 2014 - books.google.com
Dependence Modeling with Copulas covers the substantial advances that have taken place
in the field during the last 15 years, including vine copula modeling of high-dimensional …
in the field during the last 15 years, including vine copula modeling of high-dimensional …
[BOOK][B] Scheduling
ML Pinedo - 2012 - Springer
Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L.
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
[BOOK][B] Introduction to algorithms
A comprehensive update of the leading algorithms text, with new material on matchings in
bipartite graphs, online algorithms, machine learning, and other topics. Some books on …
bipartite graphs, online algorithms, machine learning, and other topics. Some books on …
[BOOK][B] Tabu search
Faced with the challenge of solving hard optimization problems that abound in the real
world, classical methods often encounter great difficulty. Vitally important applications in …
world, classical methods often encounter great difficulty. Vitally important applications in …