Search Results for "genetic algorithm in matlab" - Page 2
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Showing 32 open source projects for "genetic algorithm in matlab"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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CYPHER Learning is a world-class, award-winning learning management system (LMS)Institutions throughout the world use CYPHER Learning as their tool of choice to manage all classroom activities. CYPHER Learning is used by organizations ranging from large universities such as STI in the Philippines, school districts such as Santa Barbara Unified School District, to small schools with 20 students in Spain.
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This project applies an interpretation of a k-NN algorithm to a library of GPS commuter data for speed prediction. The overall goal is to lay the foundation for a power management protocol for use in electric vehicles with hybrid energy storage.
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An implementation of a new proposed model of smoothly spiking neural networks + a fully analytical gradient descent algorithm.
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This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
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Linear Time Invariant (LTI) system identification using particle swarm optimization (PSO) algorithm. Creators : Vahid Kiani, Hadi Sadoghi Yazdi
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GiveLife365: Powering Nonprofits with Smart CRM.Managing constituents - donors, volunteers, events, and cases shouldn’t slow down your mission. GiveLife365 is a cloud-based CRM built for nonprofits, helping you streamline operations, boost engagement, and measure real impact—all in one place.
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This is C++ application code that implements Gene Expression Programming, or GEP - a form of genetic algorithm.
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TrimGA is a lightweight genetic algorithm library written in pure Java 6.0 that can be quickly applied to most optimization problems.
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GENet
A genetic algorithm framework for artificial neural networks.
A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
