Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization
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 …
applied to a wide variety of multi-objective optimization problems. Along the way, several …
Multiobjectivization of single-objective optimization in evolutionary computation: a survey
Multiobjectivization has emerged as a new promising paradigm to solve single-objective
optimization problems (SOPs) in evolutionary computation, where an SOP is transformed …
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 …
popularity and accessibility of the services proposed by these networks have made the …
Effective and imperceptible adversarial textual attack via multi-objectivization
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 …
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 …
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 …
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 …
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 …
the development of more competitive search mechanisms. This concept involves the …
Optimising real-world traffic cycle programs by using evolutionary computation
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 …
pollution, is currently one of the most important problems in cities, and several approaches …
A multiobjectivised memetic algorithm for the frequency assignment problem
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 …
Problem (FAP), which is one of the key issues in the design of Global System for Mobile …