Humans take immense pride in their ability to be unpredictably intelligent and despite huge advances in science over the past century; our understanding about human brain is still far …
M Azizi - Applied Mathematical Modelling, 2021 - Elsevier
In this paper, the Atomic Orbital Search (AOS) is proposed as a novel metaheuristic algorithm for optimization purposes. The main concept of this algorithm is based on some …
Metaheuristics are computational procedures that intelligently lead the search process through the efficient exploration of the search space associated with an optimization …
In this work, a new and effective algorithm called hybrid teaching–learning-based optimization (TLBO) and charged system search (CSS) algorithms (HTC) are proposed to …
In many optimization problems, the main goal is to improve a single performance index in which a minimum or maximum value of this index fully reflects the quality of the response …
In this paper, optimum design of engineering problems is considered by means of the Atomic Orbital Search (AOS), a recently proposed metaheuristic optimization algorithm. The …
In this paper, optimum design of building structures is conducted by metaheuristic algorithms due to the shortcomings of the conventional design methods in providing economical …
This paper proposed a swift multi-objective optimization algorithm for the performance- based design of steel moment-resisting frame (MRF) buildings considering life-cycle cost …
In this paper, a metaheuristic-based design approach is developed in which the structural design optimization of large-scale steel frame structures is concerned. Although academics …