The virtual machine (VM) in cloud is overutilized if it takes the total execution time of
workflow more than the maximum acceptable limit. In this paper, bat Algorithm is hybridized …

The main problem with the soft‐computing algorithms is a determination of their parameters.
The tuning rules are very general and need experiments during a trial and error method. The …

Optimizing marketing campaigns is a very important process for companies to maximize
their return on investment. However, this process goes through several stages in order to …

L'algorithme de chauve-souris est l'une des méta-heuristiques prometteuses, récemment
proposé pour la résolution de problèmes d'optimisation. Il se base sur la simulation du …

为解决蝙蝠算法容易陷入局部最优, 过早进入停滞状态等缺点, 在蝙蝠算法更新模式中引入时变
的惯性权重, 给出3 种不同的惯性权重学习机制, 将蝙蝠算法进行改进, 提高算法的开发和探索 …

Meta heuristic algorithms like Particle Swarm Optimization (PSO), Genetic Algorithm (GA)
and other algorithms are great and famous techniques used to solve many hard and …

Identifying the right customers to engage in successful marketing campaigns is the main
difficulty met by marketers. The goal is to offer products to different customers with a high …

This paper presents a metaheuristic algorithm, called BATp optimizer, to solve the
combinatorial problem of static transmission networks expansion planning (STNEP) …

In direct marketing campaigns, the optimization of targeted offers problem is a big business
concern. The main goal is to maximize the company's profit by reaching the right clients. The …

Clustering is an important data analysis technique to find similar data objects in a given
dataset. It is unsupervised learning and has proven its capability in diverse research fields …