Real world problems like Travelling Salesman Problem (TSP) belong to NP-hard optimization problems which are difficult to solve using classical mathematical methods. Therefore, many alternate solutions have been developed to find the optimal solution in shortest possible time. Nature-inspired algorithms are one of the proposed solutions which are successful in finding the solutions that are ver...

Due to its outstanding physical, chemical, and thermal properties, an increasing consideration has been paid produce copper (Cu) nanoparticles (NPs). Various methods are accessible for producing Cu NPs by conceiving the top–down bottom–up approaches. Electrodeposition is a method synthesize high-quality at low cost. The attributes of rely on their way deduction electrochemical process parameter...

To meet the ever-increasing global energy demands, it is more necessary than ever to ensure increments in recovery factors (RF) associated with oil reservoirs. Owing this challenge, enhanced (EOR) techniques are increasingly gaining significance as robust strategies for producing volumes from mature Water alternating gas (WAG) injection an EOR method intended at improving microscopic and macros...

Flower pollination algorithm (FPA) is a new nature-inspired evolutionary algorithm used to solve multi-objective optimization problems. The aim of this paper is to introduce FPA to the electromagnetics and antenna community for the optimization of linear antenna arrays. FPA is applied for the first time to linear array so as to obtain optimized antenna positions in order to achieve an array pat...

Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...