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AHB-APB UVM Verification Environment
Development of AXI4 Accelerated VIP
All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
由于CSDN博客里面不能直接上代码链接,涉嫌营销推广,因此建一个github仓库用于整理这些代码链接
Hybrid Particle Swarm and Grey Wolf Optimizer
This script implements the hybrid of PSO and GWO optimization algorithm.
A tree explorer plugin for vim.
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selective grey wolf optimization with opposition based learning
A Typora Theme - 一个 Typora 主题
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.