Online ISSN: 2515-8260

Keywords : Genetic algorithm

Genetic Algorithm Adaptation To Optimize Smartphone Recommendation System (Srcs)

Khyrina Airin Fariza Abu Samah; Nursalsabiela Affendy Azam; Raseeda Hamzah; Chew Chiou Sheng; Lala Septem Riza

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 2, Pages 78-90

This paper describes a preliminary study on adapting the genetic algorithm (GA)
in recommending smartphones based on the user’s preferences and budget. Different
smartphones that came with different specifications have caused broader choices for the
user. Amid thousands of smartphone advertisements from numerous brands, buyers have a
hard time deciding which smartphone matches their desire. Hence, this research aimed to
design and develop a progressive web application (PWA) recommendation system to
purchase a smartphone using the Genetic Algorithm (GA). PWA allowed users to choose
any platform to input the smartphone specification preferences and budget. With the
inputs, it processed through GA and resulting in a list of optimum suggestions. The system
features are proven functioning well and managed to receive good system usability of

Optimization Of SLL Of Rectangular Array Antennas Using Enhanced Firefly Algorithm

Bhagya Sri N.K. Kagitha; Venkateswara Rao Nagalla

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 5, Pages 150-159

Firefly Algorithm is a stochastic and meta heuristic approach inspired from nature having a wide range of applications in solving various optimization problems. Firefly Algorithm (FA) suffers from problem of slow convergence speed. This problem can be solved by using modified Firefly algorithm called as Enhanced Firefly Algorithm. By using this algorithm side lobe level of rectangular antenna array can be reduced considerably without appreciable effect on beam width. SLL is most important array pattern parameter because reduced SLL results in minimizing received noise and interference. Low SLL in the radiation pattern of the rectangular antenna array can be achieved by considering phases and amplitudes of the excitation currents of elements of array as variables to be controlled having fixed spacing between the elements. In this paper SLL of symmetric rectangular array antenna is optimized using Enhanced Firefly algorithm (EFA) and its results are compared to the results obtained with Genetic Algorithm.

Economic Load Dispatch Problem Using Butterfly Optimization Algorithm

Subapriya V; Jaichandran R; Kanaga Suba Raja S; Prathyush P; Rahul Kuzhi Parambil; Sreelakshmi S

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2773-2778

The objective of the economic load dispatch (ELD) problem is to fulfill the requirement of the load by minimum cost using efficient algorithm. Optimization design strategy is better way to solve the problem with more efficiency. In this paper Butterfly optimization technique has been introduce to find efficient solution That emulates nourishment hunt and mating conduct of butteries. Butterflies uses their sense of smell to locate honeydew target or mating partner. The propose solution is contrasted with PSO and genetic algorithm to analyze performance.