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Classification by discrete optimization
Computer Vision, Graphics, and Image Processing, 1984Abstract An approach to classification is described where an evaluation function is available. Deterministic classifications are evaluated by a heuristic function, and a special search procedure is applied to find a classification optimizing this function. A specific application to image segmentation is presented, including several examples.
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Discrete Optimization for Agents
International Joint Conference on Autonomous Agents and Multiagent Systems, 2016Many an agent needs to make a decision of what do to given a limited amount of resources. This is a discrete optimization problem. Recent advances in discrete optimization modelling technology have made it easier than ever before to model difficult ad hoc optimization problems, and apply off the shelf solving technology rapidly and efficiently, while ...
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STAMPEDE: A Discrete-Optimization Method for Solving Pathwise-Inverse Kinematics
IEEE International Conference on Robotics and Automation, 2019We present a discrete-optimization technique for finding feasible robot arm trajectories that pass through provided 6-DOF Cartesian-space end-effector paths with high accuracy, a problem called pathwise-inverse kinematics.
D. Rakita, Bilge Mutlu, Michael Gleicher
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Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018Recent vision and learning studies show that learning compact hash codes can facilitate massive data processing with significantly reduced storage and computation. Particularly, learning deep hash functions has greatly improved the retrieval performance,
Fu-Min Shen +5 more
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, 2020
In this paper a new and efficient metaheuristic algorithm is proposed for discrete performance-based seismic design optimization of steel moment frames.
S. Gholizadeh, M. Danesh, C. Gheyratmand
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In this paper a new and efficient metaheuristic algorithm is proposed for discrete performance-based seismic design optimization of steel moment frames.
S. Gholizadeh, M. Danesh, C. Gheyratmand
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, 2020
Combining topology optimization and continuous orientation design of fiber-reinforced composites is a promising way to pursue lighter and stronger structures.
Yun-Feng Luo +4 more
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Combining topology optimization and continuous orientation design of fiber-reinforced composites is a promising way to pursue lighter and stronger structures.
Yun-Feng Luo +4 more
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Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm
Applied Soft Computing, 2019Discrete optimization of truss structures is a hard computing problem with many local minima. Metaheuristic algorithms are naturally suited for discrete optimization problems as they do not require gradient information. A recently developed method called
S. O. Degertekin, L. Lamberti, I. Ugur
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Computational Mathematics and Mathematical Physics, 2007
Summary: A survey of some theoretical concepts in discrete optimization is given.
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Summary: A survey of some theoretical concepts in discrete optimization is given.
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Discrete Filled Function Method for Discrete Global Optimization
Computational Optimization and Applications, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chi-Kong Ng +3 more
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V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
International Conference on Learning Representations, 2019Some of the most successful applications of deep reinforcement learning to challenging domains in discrete and continuous control have used policy gradient methods in the on-policy setting.
H. F. Song +13 more
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