Doğadaki canlıların sürü davranışlarından, bitkilerden, insana özgü olgulardan, fizik, matematik, biyoloji ve kimya gibi bilimsel alanlardaki olaylardan esinlenen onlarca metasezgisel optimizasyon yöntemi mevcuttur. Bu yöntemler belirli problemlerde başarılı olmakla birlikte bütün olamamaktadır. Bundan dolayı araştırmacılar tarafından her geçen gün yeni önerilmektedir. çalışmada ilk defa güncel...

In this first study, the rectangular reinforced concrete beam’s costs and cross-section sizes are found by using Harmony Search (HS), Differential Evolution Algorithm (DE), Jaya Algorithm, Teaching- Learning Based (TLBO), Hybrid algorithm (Jaya-TLBO) Flower Pollination (FPA) separately ACI 318 building code. addition, in order to better see how successful algorithms are, standard deviation of u...

Abstract Designing urban transportation networks is a technological and social reality defined as decentralized polynomial NP-Hard problem. In order to efficiently resolve this issue, several nature-inspired metaheuristic approaches have been proposed. Although these methods are crucial resolving network challenges, no comprehensive study has conducted address concerns. Thus, provides an in-dep...

This paper focuses on optimizing the long- and short-term planning of perishable product supply chain network (PPSCN). It addresses integration strategic location, tactical inventory, operational routing decisions. Additionally, it takes into consideration specific characteristics products, including their shelf life, inventory management, transportation damages. The main objective is to minimi...

 In this research, a tri-objective mathematical model is proposed for the Transportation-Location-Routing problem. The model considers a three-echelon supply chain and aims to minimize total costs, maximize the minimum reliability of the traveled routes and establish a well-balanced set of routes. In order to solve the proposed model, four metaheuristic algorithms, including Multi-Objective Gre...

The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic generation of tests use metaheuristic search techniques, i.e. Genetic Algorithms and Simulated Annealing. There is a great deal of research into the use of Genetic Algorithms to obtain a specific coverage in software te...