One of the most available energy sources in the world is solar energy, while in the category
of renewable and nonrenewable energies is in the first group. Power generation of a …

Conventional and classical optimization methods are not efficient enough to deal with
complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years …

Recently, some researchers have employed the McCormick envelopes method to convexify
some NP-hard optimization problems with bilinear terms. However, few publications …

Purpose: In recent years, meta-heuristic algorithms and their application in solving
complicated, nonlinear, and high dimensions problems have increased dramatically and the …

Purpose: The goal of the study is to estimate an artificial neural network (ANN) model for
bankruptcy prediction and optimize processes using the Particle Swarm (PSO) and Genetic …

Today, the application of meta-heuristic algorithms in solving problems is very important.
This importance has led to the development of hundreds of types of meta-heuristic …

The optimal design and construction of sewage networks have always been considered by
researchers and experts due to the very high costs of implementing this infrastructure. Being …

Providing such a review requires in-depth study and knowledge of the advances and
challenges in the broader field of metaheuristics, especially with regard to diversification …

در سالهای اخیر، شاهد ظهور و گسترش الگوریتم‌های فراابتکاری و استفاده از آنها جهت حل مسائل
پیچیده، غیرخطی و NP-hard بوده‌ایم. هدف از انجام این تحقیق رتبه‌بندی الگوریتم‌های فراابتکاری …‎