Results 261 to 270 of about 4,461,134 (292)

The Black Box Multigrid Numerical Homogenization Algorithm

Journal of Computational Physics, 1998
We propose a numerical approach for the homogenization of the permeability in models of single-phase saturated flow. Our approach is motivated by the observation that multiple length scales are captured automatically by robust multilevel iterative solvers, such as black box multigrid.
Moulton, J. David, Dendy, Joel E. jun., Hyman, James M.   +2 more
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Effective Black-Box Testing with Genetic Algorithms

2006
Black-box (functional) test cases are identified from functional requirements of the tested system, which is viewed as a mathematical function mapping its inputs onto its outputs. While the number of possible black-box tests for any non-trivial program is extremely large, the testers can run only a limited number of test cases under their resource ...
Mark Last, Shay Eyal, Abraham Kandel
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The ethnographer and the algorithm: beyond the black box

Theory and Society, 2020
A common theme in social science studies of algorithms is that they are profoundly opaque and function as “black boxes.” Scholars have developed several methodological approaches in order to address algorithmic opacity. Here I argue that we can explicitly enroll algorithms in ethnographic research, which can shed light on unexpected aspects of ...
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Toward the optimization of a class of black box optimization algorithms

Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence, 2002
Many black box optimization algorithms have sufficient flexibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: user-determined choices among alternative parameters, operations, and logic structures; and the algorithm-determined alternative paths chosen during the process of seeking a ...
Gang Wang, Erik D. Goodman, William F. Punch III   +2 more
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A sequential algorithm portfolio approach for black box optimization

Swarm and Evolutionary Computation, 2019
Abstract A large number of optimization algorithms have been proposed. However, the no free lunch (NFL) theorems inform us that no algorithm can solve all types of optimization problems. An approach, which can suggest the most suitable algorithm for different types of problems, is valuable.
Yaodong He, Shiu Yin Yuen, Yang Lou, Xin Zhang 0042   +3 more
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Policy Learning with an Efficient Black-Box Optimization Algorithm

International Journal of Humanoid Robotics, 2015
Robotic learning on real hardware requires an efficient algorithm which minimizes the number of trials needed to learn an optimal policy. Prolonged use of hardware causes wear and tear on the system and demands more attention from an operator. To this end, we present a novel black-box optimization algorithm, Reward Optimization with Compact Kernels ...
Jemin Hwangbo, Christian Gehring, Hannes Sommer, Roland Siegwart, Jonas Buchli   +4 more
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A stigmergy-based algorithm for black-box optimization

Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The performance of the DASA is evaluated on the set of benchmark problems provided for Black-Box Optimization Benchmarking (BBOB) 2009, a GECCO Workshop for Real-Parameter Optimization ...
Peter Korosec, Jurij Silc
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Online Black-Box Algorithm Portfolios for Continuous Optimization

2014
In black-box function optimization, we can choose from a wide variety of heuristic algorithms that are suited to different functions and computation budgets. Given a particular function to be optimized, the problem we consider in this paper is how to select the appropriate algorithm.
Petr Baudis, Petr Posik
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The Algorithmic Black Box

Abstract Chapter 2 introduces basic concepts associated with AI, including machine learning and deep neural networks, and explains why AI tools are often considered “black boxes.” It considers why we are seeing a significant escalation in the use of these tools in national security settings, especially by the United States and China, and
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Optimization algorithms for black- box problems

Τα προβλήματα βελτιστοποίησης μαύρου κουτιού (BBO) είναι διαδεδομένα στη σύγχρονη επιστήμη και τη μηχανική, τα οποία προκύπτουν από υπολογιστικά δαπανηρές προσομοιώσεις ή φυσικά πειράματα όπου η αντικειμενική συνάρτηση και οι παράγωγοί της δεν είναι προσβάσιμες.
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