Research explorer tool

16 results

Application of Multi-Objective Evolutionary Algorithms for Planning Healthy and Balanced School Lunches

Journal Article
Ramos-Pérez, J., Miranda, G., Segredo, E., León, C., & Rodríguez-León, C. (in press)
Application of Multi-Objective Evolutionary Algorithms for Planning Healthy and Balanced School Lunches. Mathematics, 9(1), 80. https://doi.org/10.3390/math9010080

Comparison between Single and Multi-Objective Evolutionary Algorithms to Solve the Knapsack Problem and the Travelling Salesman Problem

Journal Article
Mahrach, M., Miranda, G., León, C., & Segredo, E. (2020)
Comparison between Single and Multi-Objective Evolutionary Algorithms to Solve the Knapsack Problem and the Travelling Salesman Problem. Mathematics, 8(11), https://doi.org/10.3390/math8112018
One of the main components of most modern Multi-Objective Evolutionary Algorithms (MOEAs) is to maintain a proper diversity within a population in order to avoid the premature...

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

Journal Article
Segredo, E., Miranda, G., Ramos, J. M., Leon, C., & Rodriguez-Leon, C. (2020)
SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals. IEEE Access, 8, 113200-113218. https://doi.org/10.1109/access.2020.3003067
SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals is a decision support tool that addresses the multi-objective menu planning problem in order to automat...

Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking

Journal Article
Ángel-Díaz, C. M., Segredo, E., Arnay, R., & León, C. (2020)
Simulador de Robótica Educativa para la promoción del Pensamiento Computacional | Educational Robotics simulator for fostering Computational Thinking. RED. Revista de Educación a Distancia, 20(63), https://doi.org/10.6018/red.410191
Este trabajo presenta una herramienta Web libre y gratuita que facilita a cualquier centro educativo la enseñanza de conceptos básicos sobre robótica y programación y que, al ...

A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution

Journal Article
Segredo, E., Lalla-Ruiz, E., Hart, E., & Voß, S. (2020)
A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution. Computers and Operations Research, 117, https://doi.org/10.1016/j.cor.2019.104871
The success of search-based optimisation algorithms depends on appropriately balancing exploration and exploitation mechanisms during the course of the search. We introduce a ...

Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation

Journal Article
Segredo, E., Luque, G., Segura, C., & Alba, E. (2019)
Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation. IEEE Access, 7, 43915-43932. https://doi.org/10.1109/ACCESS.2019.2908562
Traffic congestion, and the consequent loss of time, money, quality of life, and higher pollution, is currently one of the most important problems in cities, and several approa...

A Cooperative Learning Approach for the Quadratic Knapsack Problem

Conference Proceeding
Lalla-Ruiz, E., Segredo, E., & Voß, S. (2018)
A Cooperative Learning Approach for the Quadratic Knapsack Problem. In Learning and Intelligent Optimization Conference (LION12). , (31-35). https://doi.org/10.1007/978-3-030-05348-2_3
The Quadratic Knapsack Problem (QKP) is a well-known optimization problem aimed to maximize a quadratic objective function subject to linear capacity constraints. It has sever...

Selection methods and diversity preservation in many-objective evolutionary algorithms

Journal Article
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2018)
Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, https://doi.org/10.1108/dta-01-2018-0009
Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two...

A novel similarity-based mutant vector generation strategy for differential evolution

Conference Proceeding
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018)
A novel similarity-based mutant vector generation strategy for differential evolution. In H. Aguirre (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference 2018https://doi.org/10.1145/3205455.3205628
The mutant vector generation strategy is an essential component of Differential Evolution (DE), introduced to promote diversity, resulting in exploration of novel areas of the...

On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems

Journal Article
Voß, S., Segredo, E., Lalla-Ruiz, E., Hart, E., & Voss, S. (2018)
On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems. Expert Systems with Applications, 102, 126-142. https://doi.org/10.1016/j.eswa.2018.02.024
Migrating Birds Optimisation (mbo) is a nature-inspired approach which has been shown to be very effective when solving a variety of combinatorial optimisation problems. More ...