Adriana Lara

According to our database, Adriana Lara authored at least 27 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement.

Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen

IEEE Trans. Evol. Comput., April, 2024

Using Evolutionary Algorithms for the Search of 16-Variable Weight-Wise Perfectly Balanced Boolean Functions with High Non-linearity.

Sara Mandujano, Adriana Lara, Juan Carlos Ku-Cauich

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

2023

Automatic Composition of Music Using a Genetic Algorithm, Emotional Musical Theory and Machine Learning.

Adriana Lara, Giovanni Guzmán, Natan Vilchis

Computación y Sistemas (CyS), 2023

2022

Studying Special Operators for the Application of Evolutionary Algorithms in the Seek of Optimal Boolean Functions for Cryptography.

Sara Mandujano, Juan Carlos Ku-Cauich, Adriana Lara

Proceedings of the Advances in Computational Intelligence, 2022

2021

A new gradient free local search mechanism for constrained multi-objective optimization problems.

Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze

Swarm Evol. Comput., 2021

2020

On the efficient computation and use of multi-objective descent directions within constrained MOEAs.

Lourdes Uribe, Adriana Lara, Oliver Schütze

Swarm Evol. Comput., 2020

A benchmark for equality constrained multi-objective optimization.

Oliver Cuate, Lourdes Uribe, Adriana Lara, Oliver Schütze

Swarm Evol. Comput., 2020

Using gradient-free local search within MOEAs for the treatment of constrained MOPs.

Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

On the choice of neighborhood sampling to build effective search operators for constrained MOPs.

Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa-Hernández, Honggang Wang, Oliver Schütze

Memetic Comput., 2019

Toward a New Family of Hybrid Evolutionary Algorithms.

Lourdes Uribe, Oliver Schütze, Adriana Lara

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems.

Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez, Oliver Schütze

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2016

The directed search method for multi-objective memetic algorithms.

Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas, Carlos A. Coello Coello

Comput. Optim. Appl., 2016

A local exploration tool for linear many objective optimization problems.

Oliver Cuate, Adriana Lara, Oliver Schütze

Proceedings of the 13th International Conference on Electrical Engineering, 2016

An effective mutation operator to deal with multi-objective constrained problems: SPM.

Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze

Proceedings of the 13th International Conference on Electrical Engineering, 2016

2015

The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.

Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze

Proceedings of the NEO 2015, 2015

2013

On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms.

Adriana Lara, Oliver Schütze, Carlos A. Coello Coello

Proceedings of the EVOLVE, 2013

2012

Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization.

Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello

IEEE Trans. Evol. Comput., 2012

The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms.

Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze

Proceedings of the EVOLVE, 2012

2011

On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem.

Oliver Schütze, Adriana Lara, Carlos A. Coello Coello

IEEE Trans. Evol. Comput., 2011

2010

HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms.

Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze

IEEE Trans. Evol. Comput., 2010

Some comments on GD and IGD and relations to the Hausdorff distance.

Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

New challenges for memetic algorithms on continuous multi-objective problems.

Adriana Lara, Oliver Schütze, Carlos A. Coello Coello

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Using gradient information for multi-objective problems in the evolutionary context.

Adriana Lara, Carlos A. Coello Coello, Oliver Schütze

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Computing approximate solutions of scalar optimization problems and applications in space mission design.

Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems.

Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Evolutionary continuation methods for optimization problems.

Oliver Schütze, Adriana Lara, Carlos A. Coello Coello

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms.

Adriana Lara, Carlos A. Coello Coello, Oliver Schütze

Proceedings of the IEEE Congress on Evolutionary Computation, 2009