Nature-inspired search algorithms have proved to be successful in solving real-world optimization problems. Firefly algorithm is a novel meta-heuristic algorithm which simulates the natural behavior of fireflies. In the present study, optimum design of truss structures with both sizing and geometry design variables is carried out using the firefly algorithm. Additionally, to improve the efficie...

This paper proposes a new nature-based metaheuristic algorithm called Fennec Fox Optimization (FFA), mimicking two natural behaviors of the animal in nature. Concretely, Fennec’s digging ability and escape strategy from wild predators were fundamental inspiration for proposed FFA. The mathematical model FFA is presented phases based on imitating these behaviors. First, efficiency was eva...

In recent years, optimization problems have been intriguing in the field of computation and engineering due to various conflicting objectives. The complexity problem also dramatically increases with respect a complex search space. Nature-Inspired Optimization Algorithms (NIOAs) are becoming dominant algorithms because their flexibility simplicity solving different kinds problems. Hence, NIOAs m...

During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LO...

quad rotor is a renowned underactuated unmanned aerial vehicle (uav) with widespread military and civilian applications. despite its simple structure, the vehicle suffers from inherent instability. therefore, control designers always face formidable challenge in stabilization and control goal. in this paper fuzzy membership functions of the quad rotor’s fuzzy controllers are optimized using nat...