A new approach for solving multivariate global optimisation problems with a single objective
function or multiobjective functions. Our method consists in reducing the multivariate case to …

For the feature selection of network intrusion detection, the issue of numerous redundant
features arises, posing challenges in enhancing detection accuracy and adversely affecting …

Particle Swarm Optimization (PSO) is a metaheuristic optimization method based on swarm
intelligence. Due to its flexibility and ability to produce optimum performance, it is commonly …

A novel global optimization method is described in this paper. The proposed metaheuristic
approach is loosely based on the previously published technique, the Weighted Attraction …

Metaheuristic optimization algorithms are known for their versatility and adaptability, making
them effective tools for solving a wide range of complex optimization problems. They don't …

Pure electric vehicles provide an enticing ecofriendly alternative to traditional fossil fuel
combustion engine locomotives. Batteries have primarily been used to store energy in …

In the bio-medical science various diseases are most serious and are prevalent causes of
death among the human whole world out of which breast cancer is the most serious issue …

Every day, a moss rose generates new flowers with variable diameters. Two flowering
mechanisms are controlled by exposure to sunlight, namely, a variable concentration of …

Real-life optimization problems demand robust algorithms that perform efficient search in the
environment without trapping in local optimal locations. Such algorithms are equipped with …

Günümüzde kullanımları oldukça kısıtlı olan kuantum bilgisayarlar, sahip oldukları
hesaplama gücü potansiyelleri sebebiyle birçok araştırma alanı için heyecan verici olarak …