Results 101 to 110 of about 163,780 (214)

Numerical and experimental investigation of process parameters optimization in hammer forging for minimizing risk of crack

Journal of Advanced Mechanical Design, Systems, and Manufacturing
Hammer forging is a traditional manufacturing technology to produce high stiffness product and is widely used in heavy industries. In the hammer forging, the product is produced through several blows. Unlike forging using mechanical press, the product is
Satoshi KITAYAMA, Reo SUGITA, Shuhei KONDO, Koji MIYOSHI, Eri AONO, Masaharu AMANO   +5 more
doaj   +1 more source

Process parameters optimization in pressure vibration injection molding

Nihon Kikai Gakkai ronbunshu
Plastic injection molding (PIM) is a major manufacturing technology to produce plastic products for high product quality and high productivity. The process parameters such as the melt temperature, the packing pressure and the cooling time affect the ...
Kenta YAMAYA, Satoshi KITAYAMA, Yusuke YAMAZAKI, Yoshikazu KUBO, Shuji AIBA   +4 more
doaj   +1 more source

Improved Monthly Runoff Prediction of OSELM Based on Secondary Decomposition Technique and Optimization of Ten "Bird" Swarm Algorithms

Renmin Zhujiang
To improve the accuracy of monthly runoff time series prediction and enhance the performance of online sequential extreme learning machine (OSELM) prediction, ten "bird" swarm algorithms were compared and validated for optimization, including satin ...
DENG Zhiyu, CUI Dongwen
doaj   +2 more sources

Tractable approximation algorithms for high dimensional sequential optimization problems,

, 2016
Sequential decision making problems are ubiquitous in a number of research areas such as operations research, finance, engineering and computer science. The main challenge with these problems comes from the fact that, firstly, there is uncertainty about the future. And secondly, decisions have to be made over a period of time, sequentially.
openaire   +2 more sources

Structural design using a parallel sequential approximate optimization

, 2015
In this paper, a parallel sampling strategy dedicated to SAO is proposed to enhance the competence of exploration and convergence simultaneously in the optimization process. In the parallel sampling procedure, new sampling points are identified in the pareto front of the multi-objective optimization problem, which is solved with the Normal constraint ...
Wanng, Donghui, Wu, Zeping, Hu, Fan, Jiang, Zhenyu   +3 more
openaire   +1 more source

A Scalable Algorithm to Solve Distributed Constraint Optimization

International Journal of Information and Communication Technology Research, 2014
Recently, Distributed Constraint Optimization Problems (DCOP) have been drawing a growing body of attention as an important research area in multi agent systems as a large body of real problems can be modeled by them. The primary goal of this research is
Maryam Rahmaninia, Elnaz Bigdeli, Mohsen Afsharchi   +2 more
doaj  

Pareto-Front Optimization of Variance-Added Expected Loss with Interrelated Qualities. [PDF]

Entropy (Basel)
Kim S, Lee K.
europepmc   +1 more source

Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]

J Sci Comput
Benková K, Pearson JW, Ptashnyk M.
europepmc   +1 more source

Enhanced pluggable out-of-plane coupling components for Printed Circuit Board-level optical interconnections [PDF]

, 2008
DEBAES, C, Hendrickx, Nina, HEYVAERT, S, Thienpont, Hugo, Van Daele, Peter, VAN ERPS, J, VAN GIEL, B   +6 more
core   +2 more sources

Deep Robust Moving Horizon Estimation for Nonlinear Multi-Rate Systems. [PDF]

Sensors (Basel)
Wang R, Wen S, Chen B.
europepmc   +1 more source