Metaheuristic optimization algorithms are global optimization approaches that manage the
search process to efficiently explore search spaces associated with different optimization …

Abstract In this study, Golden Sine Algorithm (Gold-SA) is presented as a new metaheuristic
method for solving optimization problems. Gold-SA has been developed as a new search …

Computational intelligence search and optimization algorithms have been efficiently
adopted and used for many types of complex problems. Optics Inspired Optimization (OIO) is …

Many classical search and optimization algorithms are especially insufficient in solving very
hard large scale nonlinear problems with stringent constraints. Hence, computational …

This study presents a boxing match algorithm (BMA) as a new efficient meta-heuristic
method to solve numerical optimization and NP-hard problems, such as knapsack. The …

Swarm Intelligence-based metaheuristic algorithms are widely applied to global optimization
and engineering design problems. However, these algorithms often suffer from two main …

Doğadaki canlıların sürü davranışlarından, bitkilerden, insana özgü olgulardan, fizik,
matematik, biyoloji ve kimya gibi bilimsel alanlardaki olaylardan esinlenen onlarca …

Öz Matematiksel programlama olarak da bilinen optimizasyon, bir amaç (değerlendirme)
fonksiyonuna göre bir problemde belirli aralıktaki sayısal değerlerin en uygununu seçen …

With the increase in environmentally friendly approaches, it has been studied for the
optimum design of reinforced concrete components that contain cement and steel with high …

In the twenty-first century, when technology has had a profound impact on every aspect of
our lives, learning has also changed, revealing the need for a dramatic reorganization of …