Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform

YD Zhang, K Muhammad, C Tang - Multimedia Tools and Applications, 2018 - Springer
Automatic tea-category identification is an important topic in factories and supermarkets.
Traditional methods need to extract features from tea images manually, which may not be …

An adaptive framework to select the coordinate systems for evolutionary algorithms

W Gao, Q Dang, M Gong - Applied Soft Computing, 2022 - Elsevier
Many evolutionary algorithms usually utilize the fixed original coordinate system to search
and cannot effectively match different function landscapes. To solve this issue, this paper …

An automated approach for the design of mechanically stabilized earth walls incorporating metaheuristic optimization algorithms

Y Yalcin, M Orhon, O Pekcan - Applied Soft Computing, 2019 - Elsevier
Considered as cost-efficient, reliable and aesthetic alternatives to the conventional retaining
structures, Mechanically Stabilized Earth Walls (MSEWs) have been increasingly used in …

A niching cross-entropy method for multimodal satellite layout optimization design

J Sun, X Chen, J Zhang, W Yao - Complex & Intelligent Systems, 2021 - Springer
Satellite layout optimization design (SLOD) relies on solving a high-dimensional and
multimodal optimization problem, in which there exist multiple global optimal solutions …

Nuclear fission–nuclear fusion algorithm for global optimization: a modified big bang–big crunch algorithm

Y Yalcin, O Pekcan - Neural Computing and Applications, 2020 - Springer
This study introduces a derivative of the well-known optimization algorithm, Big Bang–Big
Crunch (BB–BC), named Nuclear Fission–Nuclear Fusion-based BB–BC, simply referred to …

Multi Agents-multi Tasks Assignment Problem using Hybrid Cross-entropy Algorithm

G Kim - Journal of Korea Society of Industrial Information …, 2022 - koreascience.kr
In this paper, a multi agent-multi task assignment problem, which is a representative
problem of combinatorial optimization, is presented. The objective of the problem is to …

Optimum sizing of truss structures using a hybrid flower pollinations

M Altun, O Pekcan - Applications of flower pollination algorithm and its …, 2021 - Springer
The truss sizing optimization problem, where the cross-sectional areas of truss members are
optimized, is a nonlinear and complex problem. The problem becomes quite challenging …

Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm

AM Bertram - 2019 - search.proquest.com
A novel approach to incorporating Machine Learning into optimization routines is presented.
An approach which combines the benefits of ML, optimization, and meta-model searching is …

Ein hybrider Cuckoo-Suche-Algorithmus zur Kostenoptimierung von mechanisch stabilisierten Erdwänden

M Altun, Y Yalcin, O Pekcan - Anwendungen des Cuckoo-Suchalgorithmus …, 2024 - Springer
Mechanisch stabilisierte Erdwände (MSEW) haben eine breite Palette von Anwendungen in
der Bauingenieurpraxis und gelten als effiziente und zuverlässige Alternativen zu den …

A Logistics Network Distribution Algorithm Based on Deep Learning

P Xu, J Miao, S Zhou, H Liu… - 2019 IEEE Symposium …, 2019 - ieeexplore.ieee.org
With the rapid development of logistics industry, the position of outlets in logistics system is
becoming more and more important. In the logistics system, the planning and layout are …