Preventive sensing planning for robotic assembly

S.E. Conant Pablos , K. Ikeuchi
international conference on multisensor fusion and integration for intelligent systems 171 -176

2
1999
A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction

Ortiz-Bayliss Jose Carlos , Terashima-Marin Hugo , Conant-Pablos Santiago Enrique
Lecture Notes in Computer Science 7914 284 -293

8
2013
Sensing requirements for robotic assembly from an analysis of critical contact transitions

S.E. Conant-Pablos , H. Martinez-Alfaro , K. Ikeuchi
systems, man and cybernetics 2 1834 -1839

2
2003
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances

Ivan Amaya , Jose Carlos Ortiz-Bayliss , Santiago Conant-Pablos , Hugo Terashima-Marin
congress on evolutionary computation 1790 -1797

15
2019
2018 Index IEEE Computational Intelligence Magazine Vol. 13

P Abreu , D Alahakoon , R Allmendinger , I Amaya
IEEE Computational Intelligence Magazine

2018
Understanding the structure of bin packing problems through principal component analysis

Eunice López-Camacho , Hugo Terashima-Marín , Gabriela Ochoa , Santiago Enrique Conant-Pablos
International Journal of Production Economics 145 ( 2) 488 -499

28
2013
Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems

José Carlos Ortiz-Bayliss , Hugo Terashima-Marín , Peter Ross , Santiago Enrique Conant-Pablos
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11 261 -262

9
2011
Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems

José Carlos Ortiz-Bayliss , Hugo Terashima-Marín , Santiago Enrique Conant-Pablos
mexican international conference on artificial intelligence 190 -201

2
2015
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems

Alejandro Sosa-Ascencio , Gabriela Ochoa , Hugo Terashima-Marin , Santiago Enrique Conant-Pablos
Genetic Programming and Evolvable Machines 17 ( 2) 119 -144

25
2016
Neural networks to guide the selection of heuristics within constraint satisfaction problems

José Carlos Ortiz-Bayliss , Hugo Terashima-Marín , Santiago Enrique Conant-Pablos
mexican conference on pattern recognition 250 -259

6
2011
Experimental matching of instances to heuristics for constraint satisfaction problems

Jorge Humberto Moreno-Scott , José Carlos Ortiz-Bayliss , Hugo Terashima-Marín , Santiago Enrique Conant-Pablos
Computational Intelligence and Neuroscience 2016 7349070 -7349070

4
2016
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.

José Carlos Ortiz-Bayliss , Ivan Amaya , Santiago Enrique Conant-Pablos , Hugo Terashima-Marín
Computational Intelligence and Neuroscience 2018 6103726

2018
Variable and value ordering decision matrix hyper-heuristics: a local improvement approach

José Carlos Ortiz-Bayliss , Hugo Terashima-Marín , Ender Özcan , Andrew J. Parkes
mexican international conference on artificial intelligence 125 -136

1
2011
Evolutionary-based tailoring of synthetic instances for the Knapsack problem

Luis Fernando Plata-González , Ivan Amaya , José Carlos Ortiz-Bayliss , Santiago Enrique Conant-Pablos
soft computing 23 ( 23) 12711 -12728

8
2019
Learning vector quantization for variable ordering in constraint satisfaction problems

José Carlos Ortiz-Bayliss , Hugo Terashima-Marín , Santiago Enrique Conant-Pablos
Pattern Recognition Letters 34 ( 4) 423 -432

27
2013
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers

Ivan Amaya , José Carlos Ortiz-Bayliss , Santiago Enrique Conant-Pablos , Hugo Terashima-Marín
parallel problem solving from nature 373 -384

5
2018
A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems

Jose Carlos Ortiz-Bayliss , Dulce Jaqueline Magana-Lozano , Hugo Terashima-Marin , Santiago Enrique Conant-Pablos
mexican international conference on artificial intelligence 73 -79

2015