Current state-of-the-art methodologies are mostly developed for stationary optimization problems. However, many real world problems are dynamic in nature, where dierent types of changes may occur over time. Population based approaches, such as evolutionary algorithms are frequently used in dynamic environments. Selection hyper-heuristics are highly adaptive search methodologies that aim to rais...

In commercial software system development, software vendors often face the many difficulties to deal with large amount of requirements that enter the company every day. It is not possible to satisfy all the requirements in given constraint like time, cost, etc. hence there is a need to select the requirements that are more important. Requirements prioritization is a way that can play important ...

A number of heuristics for near optimal functional synthesis of Multi-Valued Logic (MVL) have been reported in the literature. Among the well-known heuristics is the Direct Cover algorithm (DCA). We have introduced a number of improved versions of the DCA. These include the Weighted Direct Cover (WDC), the Ordered Direct Cover (ODC), and the Fuzzy Direct Cover (FDC). In this paper, we review an...

The performance of almost all parallel algorithms and systems can be improved by the use of heuristics that a ect the parallel execution. However, since optimal guidance usually depends on many di erent in uences, establishing such heuristics is often di cult. Due to the importance of heuristics for optimizing parallel execution, and the similarity of the problems that arise for establishing su...

Particle swarm optimization is a metaheuristic technique widely applied to solve various optimization problems as well as parameter selection problems for various classification techniques. This paper presents an approach for linear support vector machines classifier optimization combining its selection from a family of similar classifiers with parameter optimization. Experimental results indic...

nima yooshij applied various techniques in order to describe diverse poetic subjects. this research deals with analysing the usage of these expressive techniques from two perspectives - poetic and structural. nima applied structural expressive techniques more often than poetic expressive techniques in order to describe various poetic subjects. these techniques include adjectives, adverbs, adjec...

Proofs from complexity theory as well as computational experiments indicate that most lot sizing problems are hard to solve. Because these problems are so difficult, various solution techniques have been proposed to solve them. In the past decade, meta-heuristics such as tabu search, genetic algorithms and simulated annealing, have become popular and efficient tools for solving hard combination...