Due to the drastic rise in multimedia content, digital images have become a major carrier of data. Generally, are communicated or archived via wireless communication changes, and significance data security gets increased. In order accomplish security, encryption is an effective technique which used encrypt using secret keys such way that it not readable by hacker. this view, study focuses on de...

Resource allocation is a non-polynomial complete problem in the cloud data center that selects proper resources to execute many fine computational granularity tasks. Customer requirements and capacity of applications change frequently. To bridge gap between frequently changing customer requirement available infrastructure for services, we propose dynamic resource strategy using an adaptive mult...

In this paper, teaching–learning-based optimization (TLBO) is proposed to solve flexible job shop scheduling problem (FJSP) based on the integrated approach with an objective to minimize makespan. An FJSP is an extension of basic job-shop scheduling problem. There are two sub problems in FJSP. They are routing problem and sequencing problem. If both the sub problems are solved simultaneously, t...

In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...

Meta-heuristics optimization methods are important techniques for optimal design of the engineering systems. Numerous methods, inspired by different nature phenomena, have been introduced in the literature. A new modified version of Teaching-Learning-Based Optimization (TLBO) Algorithm is introduced in this paper. TLBO, as a parameter free algorithm, is based on the learning procedure of studen...

A key component of the design and operation power transmission systems is optimal flow (OPF) problem. To solve this problem, several optimization algorithms have been developed. The primary objectives program are to minimize fuel costs, reduce emissions, improve voltage profiles, losses. OPF considered one most challenging problems due its nonconvexity significant computational difficulty. Teac...