This article addresses the problem related to the reliability of path after transmitting the given amount of data with the service-level agreement cooperation in the computer communication network. The links have associated with service performance factor parameter during the data transmission, and each node is associated with the requested service performance factor. In this article, first we have considered the single objective to minimize the transmission time of the quickest path problem. An algorithm for quickest path problem has been proposed for results, and furthermore, its time complexity has been shown. The problem has been extended with bi-objective optimization of the quickest path problem, which minimizes the transmission time and hybrid logarithmic reliability. An algorithm is proposed for getting the number of efficient solutions for the quickest path problem using label-correcting algorithm. The algorithms are implemented and tested on different standard benchmark network problems provided with the set of Pareto front of the results.
Agricultural and horticultural crops are spoiled by various fungi causing economic losses, and health risk to the consumers due to mycotoxins produced by fungi. The indiscriminate use of synthetic chemicals led to development of resistance in plants which has necessitated utilization of higher concentrations, with the consequent rise in toxicity in food products. In ecosystem plants are surrounded by various enemies which defend themselves by producing secondary metabolites like terpenes, phenols and nitrogen and sulphur compounds. A new approach to control the pathogens which hampers quality food production has been implemented by the application of plant extract. Various studies have explained that plant extracts contain sundry of bioactive components that can control the fungal growth. The aim of this article is to summarize the results of in vitro experiments from the various literatures regarding the effects of plant-derived compounds for controlling growth of fungi.
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