10 projects for "linux software" with 2 filters applied:

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  • 1
    jMetal
    jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.
    Downloads: 0 This Week
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  • 2
    EASEA
    EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
    Downloads: 0 This Week
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  • 3
    Critterding

    Critterding

    Evolving Artificial Life

    Critterding is a "Petri dish" universe in 3D that demonstrates evolving artificial life. Critters start out with completely random brains and bodies, but will automatically start evolving into something with much better survival skills.
    Downloads: 2 This Week
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  • 4

    quadGT

    Software package for the joint genotyping

    quadGT is a software package for the joint genotyping of two parents, child’s normal genome and child’s tumor genome based on sequencing reads aligned to a reference genome.
    Downloads: 0 This Week
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  • 5
    an simple thread pool in linux, based on POSIX thread API. Management thread will retrieve needless idle thread to keep in low resource consumption.
    Downloads: 0 This Week
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  • 6
    用c实现了常用的容器,如果rbtree,hashtable,list,vector,deque,heap,map,以及定时器,os api,应用开发框架。 实现了一个基于btree索引算法的文件数据库,提供了断电保护,以及事务提交与回滚等接口
    Downloads: 0 This Week
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  • 7
    CGL(C Generic Library) is a stl-like library written in pure C.It implements iterators, memory management,generic containers such as list,map, generic algorithms such as sort() and search(),and it can manipulate any types of data.
    Downloads: 0 This Week
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  • 8
    Can emulate old computer on text the code pogram ideal to create kernel for operating system The begin the project the can emulate CPU(8080)and z80.
    Downloads: 0 This Week
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  • 9

    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.
    Downloads: 0 This Week
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  • 10

    biojazz

    In silico evolution of biochemical networks.

    In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model.
    Downloads: 0 This Week
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