Virtual machine (VM) replication is a critical task in any cloud computing platform to ensure the availability of service for end user. In this task, one primary VM resides on physical (PM) and or more replicas reside separate PMs. computing, placement (VMP) well-studied problem terms different goals, such as power consumption reduction. The VMP can be solved by using heuristics, namely, first-...

Many brain–computer interface (BCI) studies overlook the channel optimization due to its inherent complexity. However, a careful selection increases performance and users’ comfort while reducing cost of system. Evolutionary meta-heuristics, which have demonstrated their usefulness in solving complex problems, not been fully exploited yet this context. The purpose study is two-fold: (1) propose ...

Job shop scheduling problem (JSP) is an attractive field for researchers and production managers since it is a famous problem in many industries and a complex problem for researchers. Due to NP-hardness property of this problem, many meta-heuristics are developed to solve it. Solution representation (solution seed) is an important element for any meta-heuristic algorithm. Therefore, many resear...

Meta-heuristics have already received considerable attention in various engineering optimization fields. As one of the most rewarding tasks, eigenvalue optimization of truss structures is concerned in this study. In the proposed problem formulation the fundamental eigenvalue is to be maximized for a constant structural weight. The optimum is searched using Particle Swarm Optimization, PSO and i...

Another main plank in their argument is that MMT provides a better account of syllogistic reasoning than the probability heuristics model (PHM) [5]. However, the meta-analysis [6] they report comparing PHM with MMT used accuracy as a measure but did not allow PHM to predict no valid conclusion responses. This move contradicts PHM in which no valid conclusion responses are predicted by one of it...

optimization of cutting conditions is a non-linear optimization with constraint and it is very important to the increase of productivity and the reduction of costs. in recent years, several evolutionary and meta-heuristic optimization algorithms were introduced. the cuckoo optimization algorithm (coa) is one of several recent and powerful meta-heuristics which is inspired by the cuckoos and the...