1) Modern Intelligent Optimization Algorithm
现代智能优化算法
1.
Research and review on modern intelligent optimization algorithm
现代智能优化算法研究综述
2) intelligent optimization algorithms
智能优化算法
1.
Then some of the typical algorithms were introduced,such as algorithms based on problem decomposition,Lagrangian relaxation/decomposition and intelligent optimization algorithms.
分析了大规模生产调度问题规模增长的因素,重点介绍了基于问题分解的各类方法、拉格朗日松弛/分解法及智能优化算法。
2.
Intelligent optimization algorithms are a class of bionic algorithms and are well characterized by its self-organizing, self-learning, self-adaptive, implicit parallelism and guided search, etc.
智能优化算法是近几年发展的一类仿生算法,具有自组织、自学习、自适应、多点并行及有指导搜索等特点,已被广泛应用于工程技术、非线性优化、结构性设计、并行计算和社会科学等领域。
3) intelligent optimization algorithm
智能优化算法
1.
Colony evolution based intelligent optimization algorithms have deficiencies of poor computational efficiency and are prone to premature during the solution process.
基于群体进化的智能优化算法在求解过程中存在计算效率低和易于早熟收敛等缺点。
2.
The intelligent optimization algorithms are new type of algorithms developed in recent years,which have been widely used in many areas.
智能优化算法是近些年发展起来的新型算法,已经在很多领域获得了广泛的应用,特别是在求解NP组合优化难题中取得了很好的效果。
3.
The method of introducing the intelligent optimization algorithm into the constrained T-S model fuzzy predictive controller was developed.
建立了将智能优化算法引入到有约束T-S模型模糊预测控制器的方法,描述了三种智能优化算法以及如何将智能优化算法应用到有约束模