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 Harmony Search Algorithms 

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A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.



We propose a new global optimization algorithm based on a harmony search scheme, termed as harmony element string algorithm (abbreviated as HEA). The algorithm has five fundamental features: (1) The states of the system is represented by strings...



An Artificial Inteligence Local Search algorithms implementation.



The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).



Algorithms like depth-first, breadth-first, greedy search, hill climbing, A*, IDA, beam search, uniform cost or EE uniform cost can be previewed and pre-calculated using this applet.



When the dataset is small, when you have to run only a few number of search, or when the dimensions of points is large, the brute search method is still faster than kd-trees data structure. Computing the distances one by one take a minor time than...



In this submission we present the code of the Replacement Method (RM) [1-4] and Enhanced Replacement Method (ERM)[5], that were proposed some time ago by our group. Both methods produce linear regression QSPR-QSAR models that are quite close the...



UPPAAL PARMOS (UP) is a parameter sweep application built specifically for UPPAAL, with the ability to distribute parameter sweeps across multiple computing resources, such as large clusters or cloud computing resources. UP also provides the...



Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve...



Permutations and combinations are often required in algorithms that do a complete search of the solution space. They are typically rather large so it's best not to compute them entirely but better to lazily generate them.
This recipe uses...



simple but powerful, open source, c++ genetic algorithms class library for optimization and search purposes.



A python module that provides algorithms for advanced search - basically all you need to build a search engine.



For users it provides high-speed search capabilities, with powerful search expressions; Phrase matching -NOT, OR and AND operators -Groups and nested groups -Word stemming Implementation is as easy as -Drag SearchBox and SearchResult controls onto...



AntiCutAndPaste is designed to search for text fragments that have been copied and pasted in programming language source code or plain text. It is tested on sources from large C++, Visual Basic, Delphi, Java, and C# projects. Algorithms used are...



M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.

These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a...



This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.

The purpose of the webinar was to highlight how...



A new hybrid population-based
algorithm (PSOGSA) is proposed with the combination of
Particle Swarm Optimization (PSO) and Gravitational Search
Algorithm (GSA). The main idea is to integrate the ability of
exploitation in PSO...



Changing of dataset sorting and search for records

TEtvDBSortingCombo component allows to change the order of records in the dataset, including SQL datasets (such as TQuery). The user can define the list of sorting criteria. List of...



Changing of dataset sorting and search for records.TEtvDBSortingCombo component allows to change the order of records in the dataset, including SQL datasets (such as TQuery). The user can define the list of sorting criteria. List of available...



The kd-tree can be used to organize efficient search for nearest neighbors in a k-dimensional space.