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- 摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 -Abstract:In order to effectively solve multiobjective optimization problems, a novel
Marco-Dorigo-ACO.pdf
- Ant Colony Optimization Author: Marco Dorigo, Mauro Birattari, and Thomas Stützle Universite Libre de Bruxelles, BELGIUM
Code-Optimization-Techniques-for-Graphics-Process
- By Fernando Pereira, Universidade Federal de Minas Gerais, Brasil, 2011 Discusses some code generation and optimization techniques that a compiler would use to pro- duce efficient code for graphics processing units to free the application deve
youhuaguocheng
- 我写的这个是对弹道飞行轨迹的优化过程，大家一起学习交流.- 请键入文字或网站地址，或者上传文档。 取消 Wǒ xiě de zhège shì duì dàndào fēixíng guǐjī de yōuhuà guòchéng, dàjiā yì qǐ xuéxí jiāoliú.I wrote this is a ballistic trajectory optimization process, with everyone learning exchanges
FEX-GODLIKE-0.5
- 单/多目标优化程序，内含说明文档和Matlab程序-Global Optimum Determination by Linking and Interchanging Kindred Evaluators. This algorithm is an attempt to gen- eralize and improve the robustness of the four meta-heuristic optimization al- gorithms GA, PSO, DE and
Gaussian-Bare-Bones-Differential-Evolution
- Gaussian Bare-Bones Differential Evolution Differential evolution (DE) is a well-known algorithm for global optimization over continuous search spaces. However, choosing the optimal control parameters is a challenging task because they are