Results 231 to 240 of about 167,924 (265)

Constraint-Handling Techniques used with Evolutionary Algorithms

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2007
Evolutionary Algorithms (EAs), when used for global optimization, can be seen as unconstrained optimization techniques. Therefore, they require an additional mechanism to incorporate constraints of any kind (i.e., inequality, equality, linear, nonlinear) into their fitness function.
openaire   +1 more source

Grammatical Evolutionary Techniques for Prompt Migraine Prediction

Proceedings of the Genetic and Evolutionary Computation Conference 2016, 2016
The migraine disease is a chronic headache presenting symptomatic crisis that causes high economic costs to the national health services, and impacts negatively on the quality of life of the patients. Even if some patients can feel unspecific symptoms before the onset of the migraine, these only happen randomly and cannot predict the crisis precisely ...
Josué Pagán, José L. Risco-Martín, José Manuel Moya, José L. Ayala   +3 more
openaire   +2 more sources

A fuzzy multistage evolutionary (FUME) clustering technique

Pattern Recognition Letters, 1984
In this paper, a multistage evolutionary scheme is proposed for clustering in a large data base, like speech data. This is achieved by clustering a small subset of the entire sample set in each stage and treating the cluster centroids so obtained as samples, together with another subset of samples not considered previously, as input data to the next ...
Devi, B. Bharathi, Sarma, VVS
openaire   +1 more source

Feature Selection Using Evolutionary Techniques

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
Mandana Gholami, Malek Mouhoub, Samira Sadaoui   +2 more
openaire   +1 more source

Evolutionary computational techniques in electromagnetics

International Conference on Mathematical Methods in Electromagnetic Theory, 2003
The three paradigms of the evolutionary algorithms, namely, Genetic Algorithms, Evolution Strategies and Evolutionary Programming, are briefly reviewed, and the applications of the latter to optimizations of continuous as well as mixed parameter electromagnetic problems are discussed in details.
openaire   +1 more source

Synthesis of Mechanisms with Evolutionary Techniques

2008
The paper deals with optimal synthesis solution methods to planar mechanisms. Several searching procedures are defined in this work, which apply algorithms based on evolutionary techniques. These algorithms are used to solve different synthesis problems of planar mechanisms.
J.A. Cabrera, J.J. Castillo, F. Nadal, A. Ortiz, A. Simón   +4 more
openaire   +1 more source

Evolutionary techniques for fault tolerance

UKACC International Conference on Control. Control '96, 1996
Artificial evolution can integrate fault tolerance considerations into the automatic design process, producing inherently fault-tolerant designs without explicit redundant parts. Population dynamics can give rise to some level of fault tolerance `for free'. Requirements for fault tolerance can also be incorporated into the fitness function.
openaire   +1 more source

Modified collocation techniques for evolutionary problems

2016
We present some modified collocation based numerical methods for the numerical integration of Ordinary Differential Equations (ODEs) and Volterra Integral Equations (VIEs). The treatise is framed into the existing literature on classical collocation methods and shows how this idea can evolve into a multistep setting, also in case of basis of functions ...
CARDONE, Angelamaria, CONTE, Dajana, D'AMBROSIO, RAFFAELE, PATERNOSTER, Beatrice   +3 more
openaire   +3 more sources

Introduction to evolutionary computing techniques

Proceedings Electronic Technology Directions to the Year 2000 ETD-95, 1995
Lakhmi C. Jain, Charles L. Karr
openaire   +1 more source

Evolutionary programming techniques for testing students' code

Proceedings of the Australasian conference on Computing education, 2000
Tools for analysing student code offer great potential for enhancing student learning through informing both students and staff. One such tool, the datlab system, has been successfully employed in second year data structures courses and provides facilities for testing students' laboratory work, providing feedback to students, and assigning marks for ...
openaire   +1 more source