Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform
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 …
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
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 …
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
Considered as cost-efficient, reliable and aesthetic alternatives to the conventional retaining
structures, Mechanically Stabilized Earth Walls (MSEWs) have been increasingly used in …
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 …
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
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 …
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 …
problem of combinatorial optimization, is presented. The objective of the problem is to …
Optimum sizing of truss structures using a hybrid flower pollinations
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 …
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 …
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
Mechanisch stabilisierte Erdwände (MSEW) haben eine breite Palette von Anwendungen in
der Bauingenieurpraxis und gelten als effiziente und zuverlässige Alternativen zu den …
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 …
becoming more and more important. In the logistics system, the planning and layout are …