This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …

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 …

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 …

This study presents a comprehensive study on the potential and efficacy of decomposition-
based multi-objective symbiotic organism search (MOSOS/D) algorithm for truss structure …