Results 81 to 90 of about 3,468,093 (146)
Meta-Modeling by Symbolic Regression and Pareto Simulated Annealing [PDF]
The subject of this paper is a new approach to Symbolic Regression.Other publications on Symbolic Regression use Genetic Programming.This paper describes an alternative method based on Pareto Simulated Annealing.Our method is based on linear regression ...
Teeuwen, G.J.A. +2 more
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Inverse planning simulated annealing (IPSA) optimization algorithm parameters.
, 2018 Inverse planning simulated annealing (IPSA) optimization algorithm parameters.
Jong Min Park (3387806) +5 more
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Journal of Marine Science and EngineeringThis paper proposes a fusion algorithm based on state-tracking collision detection and the simulated annealing potential field (SCD-SAPF) to address the challenges of obstacle avoidance for autonomous underwater vehicles (AUVs) in dynamic environments ...
Yueming Li +4 more
doaj +1 more source
A Distributed Simulated Annealing framework for Engineering Optimization
, 2003 Engineering optimization problems are known to be difficult to solve using mathematical programming techniques because of large search spaces, complex objective and constraint functions, and, in many cases, their combinatorial nature.
Pabolu, Sivakumar V
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Global Optimization strategies for two-mode clustering [PDF]
Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W. +3 more
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Orthogonal Block Change Block Building
, 2003 In this paper we present an improved algorithm for efficient minimization of the number of vectors in lists representing Boolean functions using an ordered data structure OTVL and simulated annealing algorithm to permit with a certain probability ...
Using Simulated Annealing +2 more
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, 1992 This tutorial describes simulated annealing, an optimization method based on the principles of statistical mechanics. Simulated annealing finds near-optimal solutions to optimization problems that cannot be solved exactly because they are NP-complete ...
Hansen, Per Brinch
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The process diagram of simulated annealing genetic algorithm optimization.
The process diagram of simulated annealing genetic algorithm optimization.
Lili Wan (5477447) +3 more
core +1 more source
An adaptive simulated annealing algorithm
In this paper, inspired by the idea of Metropolis algorithm, a new sample adaptive simulated annealing algorithm is constructed on finite state space. This new algorithm can be considered as a substitute of the annealing of iterative stochastic schemes ...
Gong, Guanglu, Qian, Minping, Liu, Yong
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Self-Cooling Simulated Annealing (SCSA) Algorithm for Nonlinear Least Square’s Data Analysis
A Self-Cooling Simulated Annealing (SCSA) algorithm is introduced for the optimization of nonlinear least-squares problems. In contrast to conventional simulated annealing techniques that require a predefined cooling schedule, the SCSA algorithm ...
Vahnovan, Alejandra Valeria +5 more
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