A comprehensive study on meta-heuristic algorithms and Application of Optimization Algorithm for Civil Engineering Problems
عنوان مقاله: A comprehensive study on meta-heuristic algorithms and Application of Optimization Algorithm for Civil Engineering Problems
شناسه ملی مقاله: IEAMCONF02_036
منتشر شده در دومین کنفرانس بین المللی مکانیک، برق، مهندسی هوافضا و علوم مهندسی در سال 1401
شناسه ملی مقاله: IEAMCONF02_036
منتشر شده در دومین کنفرانس بین المللی مکانیک، برق، مهندسی هوافضا و علوم مهندسی در سال 1401
مشخصات نویسندگان مقاله:
Ali Vahid Roudsari - Graduated Master of Information Technology, Computer Networks, University of Guilan, Rasht, Guilan, Iran
Naeem Ghadiri Sufi - Graduated Master of Information Technology, e-commerce IT, Mehrastan University, Astaneh Ashrafieh, Guilan, iran
Fateme Khonchin - Department of Civil Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran
خلاصه مقاله:
Ali Vahid Roudsari - Graduated Master of Information Technology, Computer Networks, University of Guilan, Rasht, Guilan, Iran
Naeem Ghadiri Sufi - Graduated Master of Information Technology, e-commerce IT, Mehrastan University, Astaneh Ashrafieh, Guilan, iran
Fateme Khonchin - Department of Civil Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran
Optimization is a process that finds a best, or optimal, solution for a problem. The algorithms used for solving optimization problems can be very diverse, from conventional algorithms to modern meta-heuristic algorithms. The optimization algorithms developed so far can be broadly classified into deterministic and stochastic. Meta-heuristic optimization algorithms are often inspired from nature. optimization in construction managements problems Construction engineering and management as field of engineering might be summarily defined as planning projects, estimating and controlling costs, administering contracts, organizing construction sites, managing construction process, optimizing site activities. in this paper, we consider A comprehensive study on meta-heuristic algorithms and Application of Optimization Algorithm for Civil Engineering Problems.
کلمات کلیدی: optimization, Ant Colony Optimization (ACO), meta-heuristic algorithms, genetic algorithm, Artificial Neural Networks
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1478694/