Abstract: This paper demonstrates the genetic algorithms (GA's) operators for providing optimal solution with minimum runtime in the pattern synthesis problem for an antenna array. Dolf-Chebyshev is ...

Abstract: Genetic algorithms (GAs) have gathered much attention by researchers and practitioners because of successful results in many real-world optimization problems [4], [5], [6]. However, to our ...

This project implements a genetic algorithm approach to solve the Resource-Constrained Project Scheduling Problem (SRCPSP), which is a well-known NP-hard optimization problem in operations research ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

This project presents a Genetic Algorithm (GA)–based solution for a server assignment problem, where a set of microservices must be allocated to a limited number of heterogeneous servers under CPU and ...