• Search: "I.2.8: Problem Solving, Control Methods, and Search"

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1

Continuous-time optimal control for trajectory planning under uncertainty
Valli, Ange ; Zhang, Shangyuan ; Lisser, Abdel ; et al.

Vehicle autonomous syste... Trajectory planning Urban driving scenarios Chance-constrained optim... Continuous-time optimal... Stochastic modelling …
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2

Design of asynchronous switched Takagi-Sugeno model-based H∞ filters with nonlinear consequent parts for switched nonlinear systems
Chekakta, Issam ; Jabri, Dalel ; Motchon, Koffi ; et al.
International Journal of Adaptive Control and Signal Processing. 37(6):1511-1535

Switched Takagi-Sugeno m... H∞ filters' design Nonlinear consequent par... Asynchronous switching l... LMI-based conditions ACM: B.: Hardware …
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3

Continuous-time optimal control for trajectory planning under uncertainty
Valli, Ange ; Zhang, Shangyuan ; Lisser, Abdel ; et al.

Vehicle autonomous syste... Trajectory planning Urban driving scenarios Chance-constrained optim... Continuous-time optimal... Stochastic modelling …
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4

Dispatching to parallel servers
Dispatching to parallel servers: Solutions of Poisson's equation for first-policy improvement
Bilenne, Olivier ; Performance analysis and optimization of LARge Infrastructures and Systems (POLARIS) ; Centre Inria de l'Université Grenoble Alpes ; et al.
Queueing Systems. 99(3):199-230

M G 1 queue Poisson equation First-policy improvement Policy iteration …
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5

Vehicles Platooning in Urban Environments: Integrated Consensus-based Longitudinal Control with Gap Closure Maneuvering and Collision Avoidance Capabilities
Khalifa, Ahmed ; Kermorgant, Olivier ; Dominguez, Salvador ; et al.
ECC19 - European Control Conference. :1695-1701

Naples, Italy ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... I.2.8.1: Control theory [INFO.INFO-RB]Computer S... …
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6

ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler
Gonard, François ; Schoenauer, Marc ; Sebag, Michèle ; et al.
Open Algorithm Selection Challenge 2017. :8-11

Brussels, Belgium ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... I.2.8.4: Heuristic metho... ACM: G.: Mathematics of... …
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7

Constraint Programming for Multi-criteria Conceptual Clustering
Chabert, Maxime ; Solnon, Christine ; Geometry Processing and Constrained Optimization (M2DisCo) ; et al.
23rd International Conference on Principles and Practice of Constraint Programming (CP). :460-476

Melbourne, Australia Constraint programming Conceptual clustering ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... …
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8

Constraint Games revisited
Palmieri, Anthony ; Lallouet, Arnaud ; Huawei Technologies France [Boulogne-Billancourt] ; et al.
International Joint Conference on Artificial Intelligence. :729-735

Melbourne, Australia ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... I.2.11: Distributed Arti... I.2.11.3: Multiagent sys... …
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9

Robust Basic Cyclic Scheduling Problem
Hamaz, Idir ; Houssin, Laurent ; Cafieri, Sonia ; et al.
EURO Journal on Computational Optimization. 6(3):291-313

ACM: G.: Mathematics of... G.2: DISCRETE MATHEMATIC... G.2.1: Combinatorics G.2.1.0: Combinatorial a... G.2.2: Graph Theory G.2.2.0: Graph algorithm... …
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10

An Overview of a Break Assignment Problem Considering Area Coverage
Vue d'ensemble du problème d'attribution des pauses compte tenu de la couverture de zone
Lujak, Marin ; Garcia Sánchez, Álvaro ; Ortega Mier, Miguel ; et al.

fleet scheduling break assignment emergency fleet coordina... ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... …
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11

Pareto-Based Multiobjective AI Planning
Khouadjia, Mostepha Redouane ; Schoenauer, Marc ; Vidal, Vincent ; et al.
IJCAI 2013. :2321-2327

Beijing, China ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... I.2.8.5: Plan execution,... I.2.8.4: Heuristic metho... …
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12

Sustainable Cooperative Coevolution with a Multi-Armed Bandit
de Rainville, François-Michel ; Sebag, Michèle ; Gagné, Christian ; et al.
Proc. 15th Genetic and Evolutionary Computation COnference - ACM-GECCO. :1517-1524

Amsterdam, Netherlands Adaptivity Credit Assignment Multi-Armed Bandit Cooperative Coevolution ACM: I.: Computing Metho... …
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13

Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
Loshchilov, Ilya ; Schoenauer, Marc ; Sebag, Michèle ; et al.
Genetic and Evolutionary Computation Conference (GECCO 2012). :321-328

Philadelphia, United Sta... ranking support vector m... surrogate models surrogate-assisted optim... self-adaptation CMA-ES …
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14

Sélection adaptative d'opérateurs pour la recherche locale basée sur un compromis exploration-exploitation
Veerapen, Nadarajen ; Maturana, Jorge ; Saubion, Frédéric ; et al.
JFPC - Huitièmes Journées Francophones de Programmation par Contraintes - 2012. :318-327

Toulouse, France recherche locale algorithme autonome sélection d'opérateurs ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... …
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15

Adaptive Coordinate Descent
Loshchilov, Ilya ; Schoenauer, Marc ; Sebag, Michèle ; et al.
Genetic and Evolutionary Computation Conference (GECCO 2011). :885-992

Dublin, Ireland Continuous Optimization Adaptive Encoding Line Search Adaptive Coordinate Desc... Covariance Matrix Adapta... …
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16

Toward Comparison-based Adaptive Operator Selection
Fialho, Álvaro ; Schoenauer, Marc ; Sebag, Michèle ; et al.
Genetic and Evolutionary Computation Conference (GECCO 2010). :767-774

Portland, United States ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... [INFO.INFO-AI]Computer S... Artificial Intelligence...
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17

Undernutrition Prevention for Disabled and Elderly People in Smart Home with Bayesian Networks and RFID Sensors
Cislo, Nathalie, D. ; Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique [2008-2013] (PRISME) ; Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges) ; et al.
8th International Conference on Smart Homes and Health Telematics. :246-249

Seoul, South Korea Smart Home Undernutrition Preventio... Bayesian Networks RFID Sensors Gerontechnologies …
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18

Analysis of Adaptive Operator Selection Techniques on the Royal Road and Long K-Path Problems
Fialho, Álvaro ; Schoenauer, Marc ; Sebag, Michèle ; et al.
Genetic and Evolutionary Computation Conference (GECCO). :779-786

Montreal, Canada ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... [INFO.INFO-AI]Computer S... Artificial Intelligence...
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19

Extreme Compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection
Maturana, Jorge ; Fialho, Álvaro ; Saubion, Frédéric ; et al.
IEEE Congress on Evolutionary Computation (CEC). :365-372

Trondheim, Norway ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... [INFO.INFO-AI]Computer S... Artificial Intelligence...
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20

Dynamic Multi-Armed Bandits and Extreme Value-based Rewards for Adaptive Operator Selection in Evolutionary Algorithms
Fialho, Álvaro ; da Costa, Luis ; Schoenauer, Marc ; et al.
Learning and Intelligent Optimization (LION 3). :176-190

Trento, Italy ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... I.2.8: Problem Solving,... [INFO.INFO-AI]Computer S... Artificial Intelligence...
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