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Showing 6 open source projects for "algorithm"
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AI-powered SAST and AppSec platform that helps companies find and fix vulnerabilities.ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities.
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Sustainability Data Management for BusinessesCollect, measure, and share investor-grade data on your corporate environmental, social and governance (ESG) performance and efforts towards set KPIs.
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AcoPath for Java
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. -
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AcoPath
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. Development takes place at https://github.com/zfoxer/AcoPath -
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PsoPath
Particle Swarm Optimization algorithm for the shortest path problem
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of Particle Swarm Optimization is the emulation of the social behaviour of, e.g., a flock of birds, as a stochastic optimisation method. Specifically, a particle is an entity representing a solution in the search space. Several particles cooperate... -
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LaPath
Learning Automata algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. Learning Automata (LA) are adaptive mechanisms requiring feedback from the executing environment to converge to certain states. In the context of network routing, LA residing at intermediate nodes along a path, exploit feedback from the destination node for... -
Intelligent Automation Solutions Built for Modern Finance TeamsDigitally transform your business with workflow automation and integrated payment solutions. Digitally store and secure your data with advanced search and accessibility features that keeps your documents at the tip of your team’s fingers.
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vtrunkd
Network link bonding/trunking/aggregation and multichannel VPN daemon
vtrunkd - network link bonding and multichannel VPN. Vtrunkd is a Linux VPN daemon used to combine several connection paths into one aggregated channel. Features latency, reordering and jitter management, behaviour analysis optimizations for encapsulated protocols, bufferbloat control, packet redundancy, and multiple cpu cores utilization. Up to 30 heterogenous links bonding supported. Used for live streaming, LTE/3G/Wi-Fi link bonding. 32/64-bit, x86, MIPS and ARM supported. Supports python... -
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Enhanced Stable Election Protocol- SEP-E
An enhanced stable election protocol for wireless sensor network
...Clustered techniques have since been employed to optimize energy consumption in this energy constrained wireless sensor networks. We propose an Enhanced-SEP clustering algorithm in a three-tier node scenario to prolong the e ffective network life-time. Simulation results shows that the Enhanced-SEP protocol achieves better performance in this respect, compared to other existing clustering algorithms such as LEACH and SEP in both heterogeneous and homogenous environments.
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