1) large-scale combinatorial optimization
大规模组合优化
1.
The dissertation focuses on the principles, theory, and application of EA, especially, an in-deep and systemic study on how to improve the conventional EA algorithm, solving the problems such as high-dimensional function optimization, constrained optimization, evolving neural network, large-scale combinatorial optimization problem and soft fault diagnosis in muti-mobile robots control systems.
就如何改进传统进化算法性能以及该算法在高维复杂函数优化、约束优化、进化神经网络、大规模组合优化以及多机器人系统软故障检测等领域的应用作了详细的论述。
3) large-scale optimization algorithm
大规模优化算法
4) large scale parameters optimization
大规模参数优化
6) optimized combination model
优化组合模型
1.
In order to adjust and control the static traffic distribution of a city,an optimized combination model and its algorithm for parking guidance information configuration were presented.
针对宏观调控城市全局的静态交通分布的目标,提出了停车诱导信息配置优化组合模型与算法。
补充资料：规模经济/规模不经济
规模经济/规模不经济：规模经济和规模不经济用来说明厂商产量变动从而规模变动与成本之间的关系。对于一个生产厂商而言，如果产量扩大一倍，而厂商的生产成本的增加低于一倍，则称厂商的生产存在着规模经济；如果产量增加一倍，而成本的增加大于一倍，则生产存在着规模不经济。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条