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 …

The integration of machine learning techniques with optimization algorithms has garnered
increasing interest in recent years. Two primary purposes emerge from the literature …

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 …

This paper presents a new trend toward Artificial Intelligent Engineering by replacing a stand-
alone control with remotely real-time control for users by using the Industrial Internet of …

In aerospace, robotics, network engineering and mechanical engineering, there exist
complex and urgent challenges that can be abstracted into mathematical optimization …

The no free lunch theory states that no specific heuristic method can effectively solve all
problems. This theory has created opportunities for researchers to improve existing heuristic …

Meta-heuristic techniques are important as they are used to find solutions to computationally
intractable problems. Simplistic methods such as exhaustive search become …

Evolutionary algorithms (EAs) draw inspiration from biological evolution and replicate
evolutionary processes into a computational framework that can often solve challenging …