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Classification of Abandoned Areas for Solar Energy Projects Using Artificial Intelligence and Quantu
The increasing demand for energy has intensified recently, requiring alternative sources to fossil fuels, which have bec......
Optimal seismic design of reinforced concrete structures under timehistory earthquake loads using an
A reliable seismic-resistant design of structures is achieved in accordance with the seismic design codes by designing s......
Morocco hosts a Dyke Swarm Bonanza!Remarkable mafic dyke and sill swarms(plumbing system of Large Igneous Provinces,LIPs......
Pareto optimal time-frequency resource allocation for selfish wireless cooperative multicast network
In selfsh wireless cooperative multicast networks(WCMNs),a source node wants to achieve the optimal beneft(i.e.,rate gai......
Robots in a swarm are programmed with individual behaviors but then interactions with the environment and other robots p......
In this paper, a comprehensive energy function is used to formulate the three most popular objective functions:Kapurs, O......
介绍了一种近年发展起来的、易于实现且收敛速度非常快的群智能优化算法——蜂群算法,并将其应用于考虑峰谷分时电价的水电站中长......
利用人工鱼群算法的追尾思想并在过程中加入拥挤度因子,对人工萤火虫群算法进行了改进,提出了一种改进型人工萤火虫群算法,并将该......
Task scheduling in cloud computing environments is a multi-objective optimization problem, which is NP hard. It is also ......
人类能够根据所积累的经验与知识,有效地引导人类社会的不断＂进化＂.受此启发,基于人类社会中趋同与趋异行为过程的有机结合,提出了一......
花授粉算法融合了蝙蝠算法以及布谷鸟算法的优点,从而具有参数少、进化过程简单易控制等优点.但是花授粉算法同时也存在收敛速度慢......
为了解决粒子群优化算法容易陷入局部最优和后期搜索精度不高的问题，提出了带有合作算子的改进粒子群算法。合作算子和粒子运动公式......
PID神经元网络具有动态特性,在系统控制应用中相比于传统的PID控制方法可取得更优的效果,但其学习算法为梯度学习算法,初始权值随......
提出了一种基于智能技术的新的辨识算法一随机差分群体智能算法，并对约束物体带攻角高速出水的水动力参数进行了辨识，建立了λ22和Cv......
针对时空轨迹大数据的蜂群模式挖掘需求，提出了一种高效的基于MapReduce的分布式蜂群模式挖掘算法。首先，提出了基于最大移动目标集......
提出了一种新型群体智能优化算法——微进化算法.该算法采用实数编码,基于个体自身历史最优位置,以群体中最优个体与当前个体的矢......
针对灰狼优化算法在求解连续函数优化问题时精度不高、易出现早熟收敛等缺陷,提出一种改进的灰狼优化算法.该算法在初始种群个体时......
提出一种改进的求解聚类问题的萤火虫群优化算法，该算法借鉴粒子群优化算法的思想，对聚类中心采用实数编码和解码方法；用线性递减的移......
