Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization

C Segura, CAC Coello, G Miranda, C León - Annals of Operations …, 2016 - Springer
In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …

Multiobjectivization of single-objective optimization in evolutionary computation: a survey

X Ma, Z Huang, X Li, Y Qi, L Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multiobjectivization has emerged as a new promising paradigm to solve single-objective
optimization problems (SOPs) in evolutionary computation, where an SOP is transformed …

A quantum-inspired genetic algorithm for solving the antenna positioning problem

ZAEM Dahi, C Mezioud, A Draa - Swarm and evolutionary computation, 2016 - Elsevier
Cellular phone networks are one of today's most popular means of communication. The big
popularity and accessibility of the services proposed by these networks have made the …

Effective and imperceptible adversarial textual attack via multi-objectivization

S Liu, N Lu, W Hong, C Qian, K Tang - ACM Transactions on …, 2024 - dl.acm.org
The field of adversarial textual attack has significantly grown over the past few years, where
the commonly considered objective is to craft adversarial examples (AEs) that can …

On the efficiency of the binary flower pollination algorithm: application on the antenna positioning problem

ZAEM Dahi, C Mezioud, A Draa - Applied Soft Computing, 2016 - Elsevier
Abstract The Flower Pollination Algorithm (FPA) is a recently proposed continuous
metaheuristic that was claimed to give promising results. However, its potential in binary …

Models and solvers for coverage optimisation in cellular networks: Review and analysis

ZA Dahi, JÁ Morell - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
Cellular phone networks are one of the most widely-used means of communication whose
design is a quality-determining task. During the former step many engineering problems …

Binary bat algorithm: On the efficiency of mapping functions when handling binary problems using continuous-variable-based metaheuristics

ZAEM Dahi, C Mezioud, A Draa - … Science and Its Applications: 5th IFIP TC …, 2015 - Springer
Global optimisation plays a critical role in today's scientific and industrial fields. Optimisation
problems are either continuous or combinatorial depending on the nature of the parameters …

Multi-objectivization, fitness landscape transformation and search performance: A case of study on the hp model for protein structure prediction

M Garza-Fabre, G Toscano-Pulido… - European Journal of …, 2015 - Elsevier
Multi-objectivization represents a current and promising research direction which has led to
the development of more competitive search mechanisms. This concept involves the …

Optimising real-world traffic cycle programs by using evolutionary computation

E Segredo, G Luque, C Segura, E Alba - IEEE Access, 2019 - ieeexplore.ieee.org
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 approaches …

A multiobjectivised memetic algorithm for the frequency assignment problem

E Segredo, C Segura, C León - 2011 IEEE Congress of …, 2011 - ieeexplore.ieee.org
This work presents a set of approaches used to deal with the Frequency Assignment
Problem (FAP), which is one of the key issues in the design of Global System for Mobile …