Energy ManagementGenetic AlgorithmOptimizationRenewable Energy System? 2024Navigating the complexities of optimizing Renewable Energy System components requires ... W Ye,S Huang,JZ Wen,... - 《Energy Conversion & Management》 被引量: 0发表: 2024年 ANN-genetic algorithm-based rule generation for holist...
Genetic algorithm based multi-objective reliability optimization in interval environ- ment. Computers & Industrial Engineering 62(1): 152-160... BPK Kapur - 《Computers & Industrial Engineering》 被引量: 104发表: 2012年 A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow...
Population-based evolutionary algorithms, such as the well-known algorithm NSGA-II [25], are especially suitable for these problems, since they evolve a set of solution candidates in a single run. Here, NSGA-II handles the optimization of the timetable strategy. Individuals are represented as a...
3, genetic algorithm interval reactive power optimization model. 在求解过程中需要利用基于仿射算术的区间潮流算法来获取状态变量的区间,以判断当前的状态变量是否满足约束条件,采用区间潮流算法计算网损区间的中点值,用于排序筛选经济性较好的控制策略. In the solution process requires the use of state variables to...
The present invention comprises a choice of sensor from the sensor network for at least one target tracking method, the method has the following steps: Define the genetic algorithm structure having n individual chromosomes, each of which represents a chromosome sensor-based tracking characteristics fit...
The GRH was embedded inside a genetic algorithm (GA)-based optimization method in a simulation-optimization structure in order to identify the best settings of the GRH for a particular item configuration size. Results from the preliminary experiments described here indicate that the GRH and GA have...
Then numeric results over three network scenarios demonstrate the effectiveness of the presented algorithm, which shows some potential and helpful capacity on topology designing with higher QoS level in practical multimedia network. 展开 关键词: resource optimization Genetic algorithm network coding ...
Genetic algorithm solver for mixed-integer or continuous-variable optimization, constrained or unconstrained Genetic algorithm solves smooth or nonsmooth optimization problems with any types of constraints, including integer constraints. It is a stochastic, population-based algorithm that searches randomly by ...
The method is based on genetic algorithms and is proven to be extremely efficient in solving the multiobjective combinatorial problems of optimization. The ... T Hegazy - 《Canadian Journal of Civil Engineering》 被引量: 279发表: 1999年 A balancing method and genetic algorithm for disassembly li...
progressive based algorithm inSupply Chain Managementcould help to solve the complexity of SCM that has been increased over time. In this article, we will put focus on how Genetic Algorithm techniques can be applied for optimization in SCM. Following are the topics that would be covered in this...