Selmar K. Smit

According to our database1, Selmar K. Smit authored at least 20 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2020
Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features.
CoRR, 2020

Towards a human-like movements generator based on environmental features.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Generation of Human-Like Movements Based on Environmental Features.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Modelling Human Movements With Turing Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Predicting Individual Trip Destinations with Artificial Potential Fields.
Proceedings of the Smart Cities - Second International Conference, Smart-CT 2017, Málaga, 2017

2012
Exploratory analysis of an on-line evolutionary algorithm in simulated robots.
Evol. Intell., 2012

It's Fate: A Self-organising Evolutionary Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Generic Approach to Parameter Control.
Proceedings of the Applications of Evolutionary Computation, 2012

Evolutionary Algorithm Parameters and Methods to Tune Them.
Proceedings of the Autonomous Search, 2012

2011
Parameter tuning for configuring and analyzing evolutionary algorithms.
Swarm Evol. Comput., 2011

Population diversity index: a new measure for population diversity.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Avoiding simplification strategies by introducing multi-objectiveness in real world problems.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

An MOEA-based Method to Tune EA Parameters on Multiple Objective Functions.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010

Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist.
Proceedings of the Applications of Evolutionary Computation, 2010

Beating the 'world champion' evolutionary algorithm via REVAC tuning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using Entropy for Parameter Analysis of Evolutionary Algorithms.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
Comparing parameter tuning methods for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Costs and Benefits of Tuning Parameters of Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2008

A controller architecture for the evolution of state-persistent controllers: Behaviour oriented decision tree (BODT).
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Learning benefits evolution if sex gives pleasure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008


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