Results 11 to 20 of about 1,590,381 (357)

Global Optimization of Surface Warpage for Inverse Design of Ultra-Thin Electronic Packages Using Tensor Train Decomposition

IEEE Access, 2022
As laptops get thinner and thinner, the electronic packages that go into these devices must shrink along the $z$ -dimension as well. High warpage in these ultra-thin packages is the result of mismatch of coefficients of thermal expansion (CTE) between ...
Cheryl Selvanayagam, Pham Luu Trung Duong, Brett Wilkerson, Nagarajan Raghavan   +3 more
doaj   +1 more source

Global Optimization on an Interval [PDF]

Journal of Optimization Theory and Applications, 2016
This paper provides expressions for solutions of a one-dimensional global optimization problem using an adjoint variable which represents the available one-sided improvements up to the interval “horizon.” Interpreting the problem in terms of optimal stopping or optimal starting, the solution characterization yields two-point boundary problems as in ...
openaire   +6 more sources

Subdomain separability in global optimization

Journal of Global Optimization, 2022
AbstractWe introduce a generalization of separability for global optimization, presented in the context of a simple branch and bound method. Our results apply to continuously differentiable objective functions implemented as computer programs. A significant search space reduction can be expected to yield an acceleration of any global optimization ...
Jens Deussen, Uwe Naumann
openaire   +3 more sources

Multicriteria global optimization for biocircuit design [PDF]

, 2014
One of the challenges in Synthetic Biology is to design circuits with increasing levels of complexity. While circuits in Biology are complex and subject to natural tradeoffs, most synthetic circuits are simple in terms of the number of regulatory regions,
Banga, Julio R., Otero-Muras, Irene
core   +2 more sources

Global Optimization by Energy Landscape Paving [PDF]

, 2002
We introduce a novel heuristic global optimization method, energy landscape paving (ELP), which combines core ideas from energy surface deformation and tabu search. In appropriate limits, ELP reduces to existing techniques.
C. J. McKnight, D. Cvijovic, D. J. Wales, F. Eisenmenger, F. Eisenmenger, F. Glover, F. Glover, G. Besold, J. Karle, L. T. Wille, L. Wesson, Luc T. Wille, M. J. Sippl, S. Kirkpatrick, T. Ooi, T. Schaumann, U. H. E. Hansmann, U. H. E. Hansmann, Ulrich H. E. Hansmann, W. Wenzel, Y. Duan, Y. Okamoto   +21 more
core   +3 more sources

Global solutions to a class of CEC benchmark constrained optimization problems [PDF]

Optimization Letters,10(3): 457-472, 2016, 2012
This paper aims to solve a class of CEC benchmark constrained optimization problems that have been widely studied by nature-inspired optimization algorithms. Global optimality condition based on canonical duality theory is derived. Integrating the dual solutions with the KKT conditions, we are able to obtain the approximate solutions or global ...
arxiv   +1 more source

Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]

, 2012
This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
A. Günay, A. Neumaier, Akın Günay, D. Barbucha, D.J. Wales, D.S. Siirola, D.S. Siirola, E. Kaszkurewicz, E.-G. Talbi, F. Schoen, Fatma Başak Aydemir, Figen Öztoprak, J. Nocedal, J.J. Moré, M. Gendreau, M. Hapner, M. Winikoff, M. Yokoo, M.J. North, M.P. Singh, N. Melab, O. Shehory, P.J. Modi, P.M. Pardalos, Pınar Yolum, R. Östermark, R. Ötermark, R.H. Bordini, S. Kraus, S. Luke, S. Staab, S. Talukdar, T.G. Crainic, Ş. I. Birbil, Ş. İlker Birbil   +34 more
core   +2 more sources

Machine learning for global optimization [PDF]

Computational Optimization and Applications, 2010
In this paper we introduce the LeGO (Learning for Global Optimization) approach for global optimization in which machine learning is used to predict the outcome of a computationally expensive global optimization run, based upon a suitable training performed by standard runs of the same global optimization method.
CASSIOLI, ANDREA, DI LORENZO, DAVID, M. Locatelli, SCHOEN, FABIO, SCIANDRONE, MARCO   +4 more
openaire   +6 more sources

A Comparative Study of STA on Large Scale Global Optimization [PDF]

12th World Congress on Intelligent Control and Automation (WCICA), 2016, pp. 2115-2119, 2016
State transition algorithm has been emerging as a new intelligent global optimization method in recent few years. The standard continuous STA has demonstrated powerful global search ability for global optimization problems whose dimension is no more than 100. In this study, we give a test report to present the performance of standard continuous STA for
arxiv   +1 more source

Improved Cluster Structure Optimization: Hybridizing Evolutionary Algorithms with Local Heat Pulses

Inorganics, 2017
Cluster structure optimization (CSO) refers to finding the globally minimal cluster structure with respect to a specific model and quality criterion, and is a computationally extraordinarily hard problem.
Johannes M. Dieterich, Bernd Hartke
doaj   +1 more source