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ABSELL-FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE 1948-2020 : TANZANIA
- Absell, Christopher
- Federico, Giovanni
- Tena Junguito, Antonio
MARISOL CANO, JOSÉ MÁRQUEZ, ÁNGEL DOMÍNGUEZ Y Mª CARMEN MARTÍN, (SAN MARTÍN DE TREVELLU / TREVEJO). FIESTAS
- Álvarez Pérez, Xosé Afonso (coord.)
MICROSATELLITE GENETIC CHARACTERIZATION OF SILENE CILIATA POIRET (CARYOPHYLLACEAE)
- Javier Morente López
- Alfredo García Fernandez
- José María Iriondo Alegría
ANTONIO CORREDERA E INFORMANTE MP (VALVERDI DU FRESNU / VALVERDE DEL FRESNO). CAMBIOS SOCIALES Y LINGÜÍSTICOS EN LAS ÚLTIMAS DÉCADAS
- Álvarez Pérez, Xosé Afonso (coord.)
FRANCISCO Y LOLA (RUBIÁS). LANA Y LINO = LÃ E LINHO = WOOL, FLAX AND LINEN.
- Álvarez Pérez, Xosé Afonso (coord.)
AGUSTÍN NEVADO (HERRERA DE ALCÁNTARA). CEREALES. EL PAN.
- Álvarez Pérez, Xosé Afonso (coord.)
CARLOTA (SAN BENITO DE LA CONTIENDA). LA VIDA DE ANTES
- Álvarez Pérez, Xosé Afonso (coord.)
NUMERICAL DATASET FOR THE PERFORMANCE OF ACESS-POINT SELECTION TECHNIQUES FOR CELL-FREE NON-COHERENT MASSIVE SIMO BASED ON DIFFERENTIAL M-ARY PSK
- López Morales, Manuel José
FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE : ROMANIA
- Federico, Giovanni
- Tena Junguito, Antonio
SUPPLEMENTARY CODE FOR THE ARTICLE: EXTENDING CELLULAR EVOLUTIONARY ALGORITHMS WITH MESSAGE PASSING
- Severino Fernández Galán
Cellular evolutionary algorithms (cEAs) use structured populations whose evolutionary cycle is governed by local interactions among individuals. This helps to prevent the premature convergence to local optima that usually takes place in panmictic populations. The present work extends cEAs by means of a message passing phase whose main effect is a more effective exploration of the search space. The mutated offspring that potentially replaces the original individual under cEAs is considered under message passing cellular evolutionary algorithms (MPcEAs) as a message sent from the original individual to itself. In MPcEAs, unlike in cEAs, a new message is sent from the original individual to each of its neighbors, representing a neighbor’s mutated offspring whose second parent is selected from the neighborhood of the original individual. Thus, every individual in the population ultimately receives one additional candidate for replacement from each of its neighbors rather than having a unique candidate. Experimental tests conducted in the domain of real function optimization for continuous search spaces show that, in general, MPcEAs significantly outperform cEAs in terms of effectiveness. Specifically, the best solution obtained through MPcEAs has an importantly improved fitness quality in comparison to that obtained by cEAs.