This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search
Algorithm (RSA), motivated by the hunting behaviour of Crocodiles. Two main steps of …

The RIME optimization algorithm is a newly developed physics-based optimization algorithm
used for solving optimization problems. The RIME algorithm proved high-performing in …

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …

Deep learning has recently been utilized with great success in a large number of diverse
application domains, such as visual and face recognition, natural language processing …

Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

Abstract Background: The Chimp Optimization Algorithm (ChOA) is a hunting-based model
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …

One of the main issues with heuristics and meta-heuristics is the local optima stagnation
phenomena. It is often called premature convergence, which refers to the assumption of a …

The suitability of microgrids depends upon the balance between the size, cost-efficiency and
reliability of the system. The work involves optimal planning of microgrid taking a case of …