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Journal ArticleDOI

Taboo Search Algorithm for Continuous Function Optimization

TLDR
The Taboo search framework provides a simple and effective procedure for solving global optimization problems involving continuous functions and can be successfully used for large-scale process optimization.
Abstract
The Taboo search framework provides a simple and effective procedure for solving global optimization problems involving continuous functions. This novel algorithm handles both constrained and unconstrained functions very well and can be successfully used for large-scale process optimization.

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Citations
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Journal ArticleDOI

Tabu search for global optimization of continuous functions with application to phase equilibrium calculations

TL;DR: A version of TS, namely, enhanced continuous TS (ECTS), is tried for benchmark test functions having multiple minima and then evaluated for phase equilibrium calculations, showing that both TS and GA have high reliability in locating the global minimum, and that TS converges faster than GA thus reducing the computational time and number of function evaluations.
Journal ArticleDOI

Maintenance schedule optimisation for a railway power supply system

TL;DR: In this paper, the authors proposed a maintenance scheduling model for railway power supply system as a whole to meet both reliability and maintenance cost for a railway power-supply system as well as its functional complexity and demanding operation conditions.
Journal ArticleDOI

Random search optimization approach for highly multi-modal nonlinear problems

TL;DR: The tests carried out for the LJ-MM algorithm proved its high performance for multi-modal problems with sharp peaks in particular and showed that it is the robust solver even in cases of problems with a smoother function.
Dissertation

Critical phenomena with renormalization group analysis of a hierarchical model of financial crashes

TL;DR: In this article, a renormalization group analysis of the hierarchical model with fractal structures, representing the interaction structure of the stock traders, is applied to the study of the microscopic mechanisms of stock price movements.

A Mapping Study of Automation Support Tools for Unit Testing

TL;DR: The main intent of this report is to aid developers in the process of choosing an appropriate unit testing tool from categorization table of available tools with automation unit testing support that ease this process significantly.
References
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Journal ArticleDOI

Training neural nets with the reactive tabu search

TL;DR: The task of training subsymbolic systems is considered as a combinatorial optimization problem and solved with the heuristic scheme of the reactive tabu search (RTS), which is applicable to nondifferentiable functions, is robust with respect to the random initialization, and effective in continuing the search after local minima.
Journal ArticleDOI

Optimal design of multiproduct batch chemical processes using tabu search

TL;DR: In this article, a double tabu list is proposed, and the comparison between customized (proposed) algorithm and standard one is given, which illustrates the improvement by the use of the double Tabu list.
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