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A sequential algorithm portfolio approach for black box optimization
Swarm and Evolutionary Computation, 2019Abstract 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 +3 more
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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, 2002Many 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 +2 more
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Policy Learning with an Efficient Black-Box Optimization Algorithm
International Journal of Humanoid Robotics, 2015Robotic 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 +4 more
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Online Black-Box Algorithm Portfolios for Continuous Optimization
2014In 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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A stigmergy-based algorithm for black-box optimization
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009In 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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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.openaire +1 more source
A Reinforcement-Learning Style Algorithm for Black Box Automata
2022 20th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE), 2022Itay Cohen 0001, Roi Fogler, Doron Peled
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Cancer statistics for African American/Black People 2022
Ca-A Cancer Journal for Clinicians, 2022, Ahmedin Jemal, Kimberly Miller
exaly
The Black Box Society: The Secret Algorithms That Control Money and Information
, 2015Frank A. Pasquale
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