As a research team engaged mainly in evolutionary ecology, Coevolution Research Group ( CRG) aims at the mechanism elucidation of coevolutionary phenomena amid organisms. 研究组以进化生态学为主要研究方向,从生态学的各个方面去阐明生物间协同进化的现象与机理。
When they play the tradeoff against a sea of other creatures making similar tradeoffs, it becomes a coevolutionary game. 当它们以其自身权衡对抗海量的其他同样权衡的生物时,就玩开了一场共同进化的博弈游戏。
Cooperative coevolutionary differential evolution algorithm based on colony information mining and its application 基于群体信息挖掘的协同差分进化算法及其应用
Playing coevolutionary games in computers has provided other lessons. 在电脑上玩共同进化游戏还提供了另外的教益。
Multi-swarm coevolutionary algorithm for economic load dispatch 多群体协同进化算法及其在经济调度中的应用
A Novel Partition Approach of Control Variables in Cooperative Coevolutionary Computation for Reactive Power Optimization 无功优化协同进化计算的控制变量分区方法研究
Research on Multi-UCAV Cooperative Route Planning Based on Coevolutionary Multi-Ant-Colony Algorithm 基于协进化多子群蚁群算法的多无人作战飞机协同航迹规划研究
Adversarial Problems Solving Based on Competitive Coevolutionary Genetic Algorithms 基于竞争性共同进化遗传算法求解对抗性问题
Likewise, a pair of cozy coevolutionary symbionts embracing each other can only seem to lead to stagnant solipsism. 同样地,一对温馨相拥共同进化的共生体似乎会停滞不前,造成自闭。
Varying population size cooperative coevolutionary genetic ( algorithm) and its application in optimization 变种群规模合作型协同进化遗传算法及其在优化中的应用
Coevolutionary Algorithms and Their Applications 协同进化算法及其应用研究
A scheme to evolve multi-robot cooperative behavior based of cooperative coevolutionary algorithm is investigated for multi-robot transporting multiple objects. 以多个机器人合作完成多个物体的搬运为应用对象,提出了一种形成多机器人协作行为的多种群合作协进化方法。
The application domain problem is mapped into the evolving ecosystem and solved when the coevolutionary process ends. 将应用领域待求解的问题映射为生态系统,以生态系统的进化来达到问题求解的目的。
Based on the idea of linkage identification, piecewise interval correlation by iteration ( PICI) linkage identification based population decomposition algorithm is presented in allusion to the deficiency of existing population decomposition methods in coevolutionary algorithm. 针对已有协同进化算法种群分割方法的不足,借鉴连接识别思想,提出用分段间隔相关迭代连接识别进行种群分割的算法,并给出算法的思想、步骤及具体实施方案。
This paper describes a co-evolutionary approach to solve this problem by using a new coevolutionary algorithm named Coop& compEA and a group of heuristic rules. 该文通过一种新协同进化算法Coop&compEA与一组启发式规则相结合,给出一类典型装箱问题的求解策略。
Design of High-dimensional Fuzzy Classification Systems Based on Cooperative Coevolutionary Algorithm 基于协同进化算法的高维模糊分类系统的设计
An asynchronous parallel distributed coevolutionary MDO algorithm was proposed and was implemented in network distributed environment using CORBA. 此外,分布式多目标进化算法还非常适合在网络环境的多台微机上异步并行实现。
A Study of Coevolutionary-Algorithm-Based Decision for Multi-Process Routing 基于共同进化算法的多工艺路线决策研究
Considering the multi-restraints among sub-tasks in parallel and distributed systems, a coevolutionary genetic algorithm ( CGA) for tasks matching and scheduling is proposed based on computational model of cooperative coevolution. 在考虑多种约束关系基础上,提出一种并行与分布式系统中多约束关系的任务分配与调度的共同进化遗传算法。
An approach to construct high-dimensional fuzzy classification systems is proposed based on multi-objective cooperative coevolutionary algorithm. 基于协同进化算法,提出一种高维模糊分类系统的设计方法。
The mathematical model of unit commitment is given and some simulating evolutionary algorithms to solve this problem are discussed, including genetic algorithm, immune algorithm, ant colony optimization algorithm, particle swarm optimization method, social evolutionary programming, cooperative coevolutionary algorithm and chaotic optimization method. 给出了机组优化组合的数学模型,重点探讨了求解该问题的各种模拟进化算法,包括遗传算法、免疫算法、蚁群优化算法、粒子群优化算法、社会演化算法、协同进化算法以及混沌优化方法等。
An organizational coevolutionary classification algorithm was proposed for recognition based on 1-D images of radar targets. 针对雷达目标一维像识别问题,提出了一种基于组织协同进化分类算法的识别方法。
By introducing multiobjective handling mechanism of nondominated sorting and crowding, ability of distributed coevolutionary multidisciplinary design optimization algorithm is extended to multiobjective multidisciplinary design optimization ( MDO) problems. 通过引入非优超排序和排挤的多目标处理机制,将分布式协同进化MDO算法的能力扩展到多目标的多学科设计优化问题。
But for it can't interpret the model effectively, a new method ( GA-Fuzzy model) is presented. To get the optimal model, the method optimizes the parameters of T-S fuzzy model use Coevolutionary genetic algorithm. 针对神经网络模型可解释能力差的缺点,又提出了基于遗传算法的模糊建模技术,利用基于协同进化的遗传算法对T-S模型的各部分参数进行优化,得到最优的模糊模型。
Considering the competition and cooperation between populations, the thought of Lotka-Volterra in ecology was introduced into the artificial immune algorithm, a competitive cooperative coevolutionary immune-dominant clone selection algorithm ( CCCICA) was proposed. 概括如下:1.引入生态学中的协同进化Lotka-Volterra思想到人工免疫算法中,考虑了群体间的竞争合作关系,构造了一种竞争合作型协同进化免疫克隆选择模型。
A simple universal coevolutionary algorithm based on pointer-based integer coding schema is implemented to find the optimal solution of the reconfiguration model. 设计了一种采用基于编号的整数编码方案的简单通用协同进化算法,实现了对重构模型的优化求解。
In the design of neural network, a novel method based on the cooperative coevolutionary and the immune algorithm ( CCIM) is proposed. The CCIM is used to evolve the structure and parameters of neural network. 在神经网络的设计中,根据协同进化和免疫算法原理,提出了协同进化免疫算法,对神经网络的结构和参数同时进行学习,形成了一种新型的神经网络学习算法。
Integrated with the principle of immune system optimization, the thought of co-evolutionary and particle swarm neighborhood information, an immune coevolutionary particle swarm optimization algorithm model was proposed. 融合免疫系统优化原理、协同进化思想及粒子群的邻域信息,构建免疫协同粒子群进化模型。
Finally, we applied the cooperative coevolutionary genetic algorithm to practical problem, e.g. production scheduling problem and the problem of data clustering. 最后还将协作型协进化算法应用到实际的问题中,包括生产调度问题及数据聚类问题。
Based on the elite strategy and the concept of coevolution, a new double elite coevolutionary genetic algorithm is proposed. And the convergence of the algorithm is proved theoretically. Theoretical analysis proves that the algorithm converge to the global optimization solution. 借鉴精英策略和协同进化思想,提出了一种双精英协同进化遗传算法,并从理论上证明了算法的收敛性。