A new hybrid method of crossovers is proposed for improving the performance of an evolutionary algorithm for constrained optimization based on hybrid crossovers and intermittent mutation.
为进一步提高基于混合杂交与间歇变异的约束优化演化算法的求解性能，提出了一种新的混合杂交方法。
A novel hybrid algorithm approach that employs a particle swarm optimization (PSO) and a multistage detection for the multiuser detection problem (PSOMSD) is proposed.
提出了一种新颖的基于粒子群优化和多级检测的混合算法的多用户检测器。
A new evolutionary algorithm for solving multi-objective hybrid flow shop scheduling problem(HFSP) which is an important topic in supply chain network optimization is presented.
针对供应链网络优化领域中的混合流水作业调度问题提出了一种新的多目标演化优化算法。
A new evolutionary algorithm based on hybrid crossovers and intermittent mutation for global optimization of complex functions with high dimensions is proposed.
通过混合使用多种杂交算子并辅之以间歇变异，提出了一种求解高维复杂函数全局优化问题的新型演化算法。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
将相对差商法和混沌优化结合起来，形成求解离散变量桁架结构拓扑优化设计的混合算法。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
Through embedding a gradient descend operator into the generic algorithm, a hybrid algorithm is achieved with fast convergence and great probability for global optimization.
在遗传算法中嵌入一个梯度下降算子，使得混合算法既有较快的收敛性，又能以较大概率得到全局极值。
The results indicated the hybrid algorithm can improve significantly the efficiency of GA for solving nonlinear optimization.
经验证，该混合算法可以显著提高遗传算法的运行效率和优化性能。
A hybrid algorithm combined heuristic method and simulated annealing was presented in this paper for layout optimization with Performance constraints.
本文提出了以启发式方法和模拟退火算法相结合的混合算法，可用于带性能约束的布局优化设计问题。
Therefore, the mathematic model for optimization disinfection was set up, and the hybrid genetic-simulated annealing algorithm was used for solution.
为此，建立了优化消毒数学模型，并采用遗传—模拟退火混合算法对其进行求解。
At present, there are many methods which are used for the optimal capacitor placement, such as Classical Optimization Algorithm, Artificial Intelligence and Hybrid Algorithm.
目前有多种配网无功规划优化方法，可分为传统优化算法、智能优化算法和混合法。
A hybrid algorithm is proposed by combining Particle Swarm optimization (PSO) algorithm with a stochastic optimization method, for solving the test suite minimization problem in regression test.
针对回归测试中测试用例最小化问题，将粒子群优化算法和随机算法相结合，提出一种二维随机粒子群优化算法，用来解决测试用例最小化的问题。
A hybrid algorithm is proposed by combining Particle Swarm optimization (PSO) algorithm with a stochastic optimization method, for solving the test suite minimization problem in regression test.
针对回归测试中测试用例最小化问题，将粒子群优化算法和随机算法相结合，提出一种二维随机粒子群优化算法，用来解决测试用例最小化的问题。
应用推荐