… curve,then put forward APOA algorithm. The case study testi⁃ fies that the proposed way can
… ⁃ ing weighted method, and the multi-island genetic algorithm (MIGA) is used to search the …

… Genetic algorithms and flowshop scheduling : Towards the … Proc of the AISB Workshop on
Evolutionary Computing. San … genetic algorithm approach to dynamic job shop scheduling …

… [7] use agent maps genetic algorithm in his research of scheduling in process of CIM. The
whole process of solving problem is divided into several stages. Each agent responses one …

… [7] use agent maps genetic algorithm in his research of scheduling in process of CIM. The
whole process of solving problem is divided into several stages. Each agent responses one …

… experimental data points ; Evolutionary algorithms ,EDA(Estimation of Distribution Algorithm)
The algorithm uses some machine learning models to learn the approximate relationship …

… hybrid genetic algorithm is significantly better than the traditional … Global optimum maximal
coverage scheduling strategy for police … Case study:Using crime data and open source data to …

… 3 separate case studies. Grey Wolf Optimization (GWO), Marine Predator Algorithm (MPA), …
was done to improve the bus voltages using the genetic algorithm (GA). Besides, the same …

… new effective mapping algorithm based on genetic algorithm (GA) is proposed. Compared
with the state-of-the-art greedy mapping algorithm, the proposed algorithm shows pretty good …

… genetic algorithm takes the hybrid genetic algorithm with … algorithm.The emulation and
calculation prove that it is better than only using genetic algorithm and taboo searching algorithm. …

… Project scheduling under uncertainty is a challenging field of … studies only consider the
single-mode project scheduling … resource constrained project scheduling problem with discounted …