Efficient Algorithms for Finding Highly Acceptable Designs Based on Module-Utility Selections

Efficient module selections for finding highly acceptable designs based on inclusion scheduling

Efficient Algorithms for Just-In-Time Scheduling on a Batch Processing Machine

Just-in-time scheduling problem on a single batch processing machine is investigated in this research. Batch processing machines can process more than one job simultaneously and are widely used in semi-conductor industries. Due to the requirements of just-in-time strategy, minimization of total earliness and tardiness penalties is considered as the criterion. It is an acceptable criterion for b...

Efficient Acceptable Design Exploration Based on Module Utility Selection

High Fuzzy Utility Based Frequent Patterns Mining Approach for Mobile Web Services Sequences

Nowadays high fuzzy utility based pattern mining is an emerging topic in data mining. It refers to discover all patterns having a high utility meeting a user-specified minimum high utility threshold. It comprises extracting patterns which are highly accessed in mobile web service sequences. Different from the traditional fuzzy approach, high fuzzy utility mining considers not only counts of mob...

An Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ

An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...