The present work describes a method for increasing software testing efficiency by identifying the optimal test sequences in the state machine diagram. The method employs a Meta-heuristic algorithm called Cuckoo Search to investigate best paths in the diagram. It tries to provide a technique for exhaustive coverage with minimal repetition which ensures all transitions coverage and all paths cove...

in the science of operation research and decision theory, selection is the most important process. selection is a process that studies multiple qualitative and quantitative criteria, related to the science of management, which are mostly incompatible with each other. the multi criteria selection of a renewable energy portfolio is one of the main issues considered in multi criteria literature. i...

To understand the co-existence of rejection and acceptance of cuckoo eggs within a host population, the mechanism of egg discrimination and the cost–benefit balance of rejection behaviour were investigated. At a study site in central Japan, rejection rate of cuckoo, Cuculus canorus, eggs by great reed warblers, Acrocephalus arundinaceus, was 61·5%. An analysis of host response to natural and ex...

Cuckoo hashing combines multiple-choice hashing with the power to move elements, providing hash tables with very high space utilization and low probability of overflow. However, inserting a new object into such a hash table can take substantial time, requiring many elements to be moved. While these events are rare and the amortized performance of these data structures is excellent, this shortco...

Computed tomography (CT) images are usually corrupted by several noises from the measurement process complicating the automatic feature extraction and analysis of clinical data. To attain the best possible diagnosis it is very vital that medical images be clear, sharp, and free of noise and artifacts. In this research paper, we propose a robust technique to denoise, detect and classify the tumo...

This paper presents a set of architecturally and workloadinspired algorithmic and engineering improvements to the popular Memcached system that substantially improve both its memory efficiency and throughput. These techniques—optimistic cuckoo hashing, a compact LRU-approximating eviction algorithm based upon CLOCK, and comprehensive implementation of optimistic locking—enable the resulting sys...

In this paper a new evolutionary algorithm, for continuous nonlinear optimization problems, is surveyed. This method is inspired by the life of a bird, called Cuckoo. The Cuckoo Optimization Algorithm (COA) is evaluated by using the Rastrigin function. The problem is a non-linear continuous function which is used for evaluating optimization algorithms. The efficiency of the COA has been studied...

This contribution deals with an optimal design of a brushless DC motor, using optimization algorithms, based on collective intelligence. For this purpose, the case study motor is perfectly explained and its significant specifications are obtained as functions of the motor geometric parameters. In fact, the geometric parameters of the motor are considered as optimization variables. Then, the obj...

Brood parasites provide a particularly good opportunity for the study of host-parasite evolution because they directly affect the reproductive success of their hosts. Two parasitic species, the common cuckoo (Cuculus canorus) and the brown-headed cowbird (Molothrus ater), differ widely in their relationships with their hosts, yet share the attribute of having been particularly well studied by b...