Results 171 to 180 of about 278,880 (218)
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2021 IEEE Conference on Games (CoG), 2021
$αμ$ is a search algorithm which repairs two defaults of Perfect Information Monte Carlo search: strategy fusion and non locality. In this paper we optimize $αμ$ for the game of Bridge, avoiding useless computations. The proposed optimizations are general and apply to other imperfect information turn-based games.
Tristan Cazenave +2 more
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$αμ$ is a search algorithm which repairs two defaults of Perfect Information Monte Carlo search: strategy fusion and non locality. In this paper we optimize $αμ$ for the game of Bridge, avoiding useless computations. The proposed optimizations are general and apply to other imperfect information turn-based games.
Tristan Cazenave +2 more
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Optimal harvesting and optimal vaccination
Mathematical Biosciences, 2007Two optimization problems are considered: Harvesting from a structured population with maximal gain subject to the condition of non-extinction, and vaccinating a population with prescribed reduction of the reproduction number of the disease at minimal costs.
Hadeler, K. P., Müller, J.
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Optimal floorplan area optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1992An optimal algorithm for the floorplan area optimization problem is presented. The algorithm is based on an extension of the technique of L. Stockmeyer (1983). Experimental results indicate that the authors' algorithm is efficient and capable of successfully handling large floor plans.
Ting-Chi Wang, Martin D. F. Wong
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Business Strategy Review, 2007
A positive outlook can be a powerful force in business. But what if someone's optimism is unrealistic, unfounded or excessive?Rose Trevelyan says the results can be lethal. So, how can you be optimistic without being overconfident?
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A positive outlook can be a powerful force in business. But what if someone's optimism is unrealistic, unfounded or excessive?Rose Trevelyan says the results can be lethal. So, how can you be optimistic without being overconfident?
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1998
Will Hutton’s book The State We’re In, published in January 1995, advocated stakeholding as an antidote to the divisive effects of unfettered markets, and the recipe for social cohesion and inclusion. It far outsold the Borrie and Rowntree Reports. By 1997, Social Justice had sold 12400 copies, and Rowntree just over 3000.
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Will Hutton’s book The State We’re In, published in January 1995, advocated stakeholding as an antidote to the divisive effects of unfettered markets, and the recipe for social cohesion and inclusion. It far outsold the Borrie and Rowntree Reports. By 1997, Social Justice had sold 12400 copies, and Rowntree just over 3000.
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Multipopulation Optimization for Multitask Optimization
2019 IEEE Congress on Evolutionary Computation (CEC), 2019Currently, the most of multitask evolutionary algorithms views multiple tasks as factors influencing the evolution of individuals. However, this consideration causes difficulty to assign fitness to individuals, because an individual which performs well on one task can have a bad performance on another task. To avoid this difficulty, this paper proposes
Zedong Tang +4 more
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Optimality conditions and optimization methods for quartic polynomial optimization
Applied Mathematics and Computation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhiyou Wu +3 more
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American Journal of Roentgenology, 2008
Lauren M, Burns, Richard B, Gunderman
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Lauren M, Burns, Richard B, Gunderman
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On Optimality Conditions in Quasidifferentiable Optimization
SIAM Journal on Control and Optimization, 1984The paper is concerned with a class of quasidifferentiable functions in the sense of \textit{V. F. Demyanov} and \textit{A. M. Rubinov} [Dokl. Akad. Nauk SSSR 250, 21-25 (Russian) (1980; Zbl 0456.49016)]. Such functions are directionally differentiable and their directional derivatives are representable as a difference of two sublinear functions.
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