Simulation in manufacturing and business: A review
This paper reports the results of a review of simulation applications published within peer-
reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of …
reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of …
Metaheuristics
S Ólafsson - Handbooks in operations research and management …, 2006 - Elsevier
Metaheuristics have been established as one of the most practical approaches to simulation
optimization. However, these methods are generally designed for combinatorial …
optimization. However, these methods are generally designed for combinatorial …
The theory and practice of simulated annealing
Simulated annealing is a popular local search meta-heuristic used to address discrete and,
to a lesser extent, continuous optimization problems. The key feature of simulated annealing …
to a lesser extent, continuous optimization problems. The key feature of simulated annealing …
Data-driven automated robotic experiments accelerate discovery of multi-component electrolyte for rechargeable Li–O2 batteries
Rechargeable aprotic lithium–oxygen (Li–O 2) batteries are promising candidates for next-
generation energy-storage devices. However, their practical application is limited by poor …
generation energy-storage devices. However, their practical application is limited by poor …
Simulated annealing
Simulated annealing is a well-studied local search metaheuristic used to address discrete
and, to a lesser extent, continuous optimization problems. The key feature of simulated …
and, to a lesser extent, continuous optimization problems. The key feature of simulated …
Analyzing the performance of generalized hill climbing algorithms
Generalized hill climbing algorithms provide a framework to describe and analyze
metaheuristics for addressing intractable discrete optimization problems. The performance …
metaheuristics for addressing intractable discrete optimization problems. The performance …
Convergence analysis of metaheuristics
WJ Gutjahr - Matheuristics: hybridizing metaheuristics and …, 2009 - Springer
In this tutorial, an overview on the basic techniques for proving convergence of
metaheuristics to optimal (or sufficiently good) solutions is given. The presentation is kept as …
metaheuristics to optimal (or sufficiently good) solutions is given. The presentation is kept as …
The noising methods: A generalization of some metaheuristics
I Charon, O Hudry - European Journal of Operational Research, 2001 - Elsevier
In this paper, an exhaustive review of the principles and of the applications of the noising
methods, recent combinatorial optimization metaheuristics, is attempted. The features and …
methods, recent combinatorial optimization metaheuristics, is attempted. The features and …
A survey of some model-based methods for global optimization
We review some recent developments of a class of random search methods: model-based
methods for global optimization problems. Probability models are used to guide the …
methods for global optimization problems. Probability models are used to guide the …
A class of convergent generalized hill climbing algorithms
Generalized hill climbing (GHC) algorithms have been presented as a modeling framework
for local search strategies applied to address intractable discrete optimization (minimization) …
for local search strategies applied to address intractable discrete optimization (minimization) …