Nature-inspired metaheuristic algorithms have attracted much attention in the last decade, and new algorithms have emerged almost every year with a vast, ever-expanding literature. In this chapter, we briefly review two latest metaheuristics: bat algorithm and cuckoo search for global optimization. Bat algorithm was proposed by Xin-She Yang in 2010, inspired by the echolocation of microbats, wh...

Conventional underwater technologies were not able to provide authentication and proper visualization of unexplored ocean areas accommodate a wide range applications. The aforesaid face several challenges including decentralization, beacon node localization (for identification nodes), Internet Underwater Things (IoUTs) objects unreliable communication between purpose oriented IoT-enabled networ...

the imperialist competitive algorithm (ica) that was recently introduced has shown its good performance in optimization problems. this algorithm is inspired by competition mechanism among imperialists and colonies, in contrast to evolutionary algorithms. this paper presents optimization of bead geometry in welding process using of ica. therefore, two case studies from literature are presented t...

Nature–inspired algorithms are the most powerful algorithms for optimization problems. This paper presents a novel optimization channel allocation algorithm inspired by the flash pattern of fireflies that allows suppression of the four–wave mixing (FWM) crosstalk while maintaining channel bandwidth. It is composed of a fractional bandwidth channel allocation algorithm by using the concept of Op...

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...

Every month at least one new population-based nature-inspired algorithm has been released in literature. Until recently, there were probably more than 200 algorithms of this kind in books, papers and proceedings. Many researchers discuss that this research area is becoming flooded with new algorithms that are in fact the old algorithms in a new disguise. Potentially, such behavior could be lead...

Recent advancements in semiconductors and material science technologies give rise to the Wireless Sensor Network (WSN). Latest advances in remote interchanges and hardware have empowered the improvement of minimal effort, low-control, multifunctional sensor nodes that are little in measure and impart untethered in short distances. Nature Inspired Algorithms have been successfully implemented in...

Nature-inspired metaheuristics found various applications in different fields of science, including the problem of artificial neural networks (ANN) training. However, very versatile opinions regarding the performance of metaheuristics applied to ANN training may be found in the literature. Both nature-inspired metaheuristics and ANNs are widely applied to various geophysical and environmental p...

One of the powerful optimization tools that has been exploited in the computer world are nature inspired algorithms (NIAs), they are also used to solve problems in the computer programming world. For many years new algorithms have been developed regarding computer science and engineering communities such algorithms concentrates on NIAs which has proven their capabilities in many aspect, in some...