Antonio López Jaimes

According to our database1, Antonio López Jaimes authored at least 29 papers between 2005 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization.
Swarm and Evolutionary Computation, 2019

Multi-objective grey wolf optimizer based on decomposition.
Expert Syst. Appl., 2019

Generation techniques and a novel on-line adaptation strategy for weight vectors within decomposition-based MOEAs.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A Parallel Tabu Search Heuristic to Approximate Uniform Designs for Reference Set Based MOEAs.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem.
Swarm and Evolutionary Computation, 2018

Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Análisis multiobjetivo de la selección de líderes en redes inalámbricas de sensores.
Research in Computing Science, 2017

On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms.
Proceedings of the Advances in Soft Computing, 2017

2016
Discrete many-objective optimization problems: The case of the pickup and delivery problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Many-Objective Problems: Challenges and Methods.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

The Pickup and Delivery Problem: a Many-objective Analysis.
Research in Computing Science, 2015

A ranking method based on two preference criteria: Chebyshev function and ∈-indicator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Objective space partitioning using conflict information for solving many-objective problems.
Inf. Sci., 2014

Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems.
Inf. Sci., 2014

Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications.
IEEE Trans. Evolutionary Computation, 2013

An Alternative Preference Relation to Deal with Many-Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Space trajectory design: Analysis of a real-world many-objective optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011
Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Preference incorporation to solve many-objective airfoil design problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Objective Space Partitioning Using Conflict Information for Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
Ranking Methods in Many-Objective Evolutionary Algorithms.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Some techniques to deal with many-objective problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Study of preference relations in many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Online Objective Reduction to Deal with Many-Objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

Objective reduction using a feature selection technique.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
MRMOGA: a new parallel multi-objective evolutionary algorithm based on the use of multiple resolutions.
Concurrency and Computation: Practice and Experience, 2007

2005
MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


  Loading...