نتایج جستجو برای: and evolutionary algorithms

تعداد نتایج: 16865075  

Data clustering is one of the main steps in data mining, which is responsible for exploring hidden patterns in non-tagged data. Due to the complexity of the problem and the weakness of the basic clustering methods, most studies today are guided by clustering ensemble methods. Diversity in primary results is one of the most important factors that can affect the quality of the final results. Also...

One of the most important processes of erosion and sediment transport in streams is the river most complex engineering  issues.this process special effects on water quality indices, action suburbs floor and destroyed much damage to the river and also into the development plans  Lack of continuity sediment sampling and measurement of many existing stations. due to the low number of hydrometric s...

Ali Safari Mamaghani Farborz Mahmoudi, Kayvan Asghari Mohammad Reza Meybodi

Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...

Journal: :journal of advances in computer research 2014
ahmad esfandiari

optimization of cutting conditions is a non-linear optimization with constraint and it is very important to the increase of productivity and the reduction of costs. in recent years, several evolutionary and meta-heuristic optimization algorithms were introduced. the cuckoo optimization algorithm (coa) is one of several recent and powerful meta-heuristics which is inspired by the cuckoos and the...

Journal: :بین المللی مهندسی صنایع و مدیریت تولید 0
ellips masehian assistant professor, industrial engineering department, tarbiat modares university farnaz barzinpour assistant professor, school of industrial engineering, iran university of science and technology samira saedi m.sc. graduate, school of industrial engineering, iran university of science and technology

being one of the major research fields in the robotics discipline, the robot motion planning problem deals with finding an obstacle-free start-to-goal path for a robot navigating among workspace obstacles. such a problem is also encountered in path planning of intelligent vehicles and automatic guided vehicles (agvs). traditional (exact) algorithms have failed to solve the problem effectively s...

Journal: :Hacettepe Journal of Mathematics and Statistics 2018

Journal: :International Journal of Artificial Intelligence & Applications 2014

Journal: :IEEE Transactions on Evolutionary Computation 2009

Journal: :Journal of Computational Biology 1995

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