Cost and CO2 are two factors in the optimum design of structures. This study proposes a modified harmony search methodology for optimization reinforced concrete beams with minimum emissions. The was developed detail by considering all possible combinations variable loads, including dynamic force resulting from earthquake motion. Moreover, time-history analyses were performed, requirements ACI-3...

The ability of nature inspired search algorithms to efficiently handle combinatorial problems and their successful implementation in many fields of engineering and applied sciences has led to the development of new, improved algorithms. In this paper, an improved harmony search algorithm (IHS) is presented, while a holistic approach in solving the problem of post-disaster infrastructure managem...

introduction: in traditional medical education systems much interest is placed on the cramming of basic and clinical facts without considering their applicability in the future professional career. the aim of this study is to evaluate a novice medical training method (problem-based learning) as compared to the contemporary teacher-based medical education or traditional methods. methods: selecti...

This paper presents the use of the improved harmony search method for solving economic load dispatch problems. The harmony search method mimics a jazz improvisation process by musicians in order to seek a fantastic state of harmony. To assess the searching performance of the proposed method, a six-unit thermal generating system acquired from the standard IEEE 30-bus test system was challenged. ...

The lifetime of wireless sensor networks could be extended and it could cover all targets is based on memetic algorithm approach. Darwinian evolutionary and Lamarckian enhancement uses memetic algorithm. This algorithm also gives better solution than any other algorithms. Many Task Assignment Problems(TAP) and particle swarm optimization techniques formulated this harmony search algorithm. The ...

One of the mostly used enhanced oil recovery methods is the injection of water or gas under pressure to maintain or reverse the declining pressure in a reservoir. Several parameters should be optimized in a fluid injection process. The usual optimizing methods evaluate several scenarios to find the best solution. Since it is required to run the reservoir simulator hundreds of times, the process...

Opposition-based learning was first introduced as a solution for machine learning; however, it is being extended to other artificial intelligence and soft computing fields including meta-heuristic optimization. It not only utilizes an estimate of a solution but also enters its counter-part information into the search process. The present work applies such an approach to Colliding Bodies Optimiz...