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jmetalsp-streamingdatasource from group org.uma.jmetalsp (version 2.0)

Group: org.uma.jmetalsp Artifact: jmetalsp-streamingdatasource
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jmetalsp-algorithm from group org.uma.jmetalsp (version 2.0)

Group: org.uma.jmetalsp Artifact: jmetalsp-algorithm
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Artifact jmetalsp-algorithm
Group org.uma.jmetalsp
Version 2.0


jmetalsp-consumer from group org.uma.jmetalsp (version 2.0)

Group: org.uma.jmetalsp Artifact: jmetalsp-consumer
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Artifact jmetalsp-consumer
Group org.uma.jmetalsp
Version 2.0


jmetalsp-observeddata from group org.uma.jmetalsp (version 2.0)

Group: org.uma.jmetalsp Artifact: jmetalsp-observeddata
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Artifact jmetalsp-observeddata
Group org.uma.jmetalsp
Version 2.0


jmetalsp-application from group org.uma.jmetalsp (version 1.0)

Group: org.uma.jmetalsp Artifact: jmetalsp-application
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Artifact jmetalsp-application
Group org.uma.jmetalsp
Version 1.0


james from group org.jamesframework (version 1.2)

JAMES is a modern Java framework for discrete optimization using local search metaheuristics.

Group: org.jamesframework Artifact: james
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Artifact james
Group org.jamesframework
Version 1.2
Last update 12. August 2016
Organization not specified
URL http://www.jamesframework.org
License The Apache Software License, Version 2.0
Dependencies amount 1
Dependencies slf4j-api,
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james-examples from group org.jamesframework (version 1.2)

Group: org.jamesframework Artifact: james-examples
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Artifact james-examples
Group org.jamesframework
Version 1.2


james-core from group org.jamesframework (version 1.2)

The James core module is part of the James framework for optimization using local search metaheuristics in Java. The core contains general components to model problems, objectives and constraints, as well as generic algorithms to solve the problems. Moreover, the core provides implementations of specific utilities for subset selection.

Group: org.jamesframework Artifact: james-core
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Artifact james-core
Group org.jamesframework
Version 1.2
Last update 12. August 2016
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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james-extensions from group org.jamesframework (version 1.2)

Group: org.jamesframework Artifact: james-extensions
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Artifact james-extensions
Group org.jamesframework
Version 1.2


chips-n-salsa from group org.cicirello (version 7.0.1)

Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. The library includes implementations of several stochastic local search algorithms, including simulated annealing, hill climbers, as well as constructive search algorithms such as stochastic sampling. Chips-n-Salsa now also includes genetic algorithms as well as evolutionary algorithms more generally. The library very extensively supports simulated annealing. It includes several classes for representing solutions to a variety of optimization problems. For example, the library includes a BitVector class that implements vectors of bits, as well as classes for representing solutions to problems where we are searching for an optimal vector of integers or reals. For each of the built-in representations, the library provides the most common mutation operators for generating random neighbors of candidate solutions, as well as common crossover operators for use with evolutionary algorithms. Additionally, the library provides extensive support for permutation optimization problems, including implementations of many different mutation operators for permutations, and utilizing the efficiently implemented Permutation class of the JavaPermutationTools (JPT) library. Chips-n-Salsa is customizable, making extensive use of Java's generic types, enabling using the library to optimize other types of representations beyond what is provided in the library. It is hybridizable, providing support for integrating multiple forms of local search (e.g., using a hill climber on a solution generated by simulated annealing), creating hybrid mutation operators (e.g., local search using multiple mutation operators), as well as support for running more than one type of search for the same problem concurrently using multiple threads as a form of algorithm portfolio. Chips-n-Salsa is iterative, with support for multistart metaheuristics, including implementations of several restart schedules for varying the run lengths across the restarts. It also supports parallel execution of multiple instances of the same, or different, stochastic local search algorithms for an instance of a problem to accelerate the search process. The library supports self-adaptive search in a variety of ways, such as including implementations of adaptive annealing schedules for simulated annealing, such as the Modified Lam schedule, implementations of the simpler annealing schedules but which self-tune the initial temperature and other parameters, and restart schedules that adapt to run length.

Group: org.cicirello Artifact: chips-n-salsa
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Artifact chips-n-salsa
Group org.cicirello
Version 7.0.1
Last update 12. December 2024
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
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