101   Artículos

 
en línea
Mustafa Erkan Turan and Tulin Cetin    
Sewer systems are a component of city infrastructure that requires large investment in construction and operation. Metaheuristic optimization methods have been used to solve sewer optimization problems. The aim of this study is to investigate the effects... ver más
Revista: Water    Formato: Electrónico

 
en línea
Antonella Nardin and Fabio D?Andreagiovanni    
Electric scooter sharing mobility services have recently spread in major cities all around the world. However, the bad parking behavior of users has become a major source of issues, provoking accidents and compromising urban decorum of public areas. Redu... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Esra?a Alkafaween, Ahmad Hassanat, Ehab Essa and Samir Elmougy    
The genetic algorithm (GA) is a well-known metaheuristic approach for dealing with complex problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in the initial population is important in determining the final optimal ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Azad A. Ameen, Tarik A. Rashid and Shavan Askar    
Child drawing development optimization (CDDO) is a recent example of a metaheuristic algorithm. The motive for inventing this method is children?s learning behavior and cognitive development, with the golden ratio being employed to optimize the aesthetic... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Broderick Crawford, Felipe Cisternas-Caneo, Katherine Sepúlveda, Ricardo Soto, Álex Paz, Alvaro Peña, Claudio León de la Barra, Eduardo Rodriguez-Tello, Gino Astorga, Carlos Castro, Franklin Johnson and Giovanni Giachetti    
The digitization of information and technological advancements have enabled us to gather vast amounts of data from various domains, including but not limited to medicine, commerce, and mining. Machine learning techniques use this information to improve d... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Wen Cao, Jiaqi Xu, Yong Zhang, Siqi Zhao, Chu Xu and Xiaofeng Wu    
The artificial bee colony algorithm (ABC) is a promising metaheuristic algorithm for continuous optimization problems, but it performs poorly in solving discrete problems. To address this issue, this paper proposes a hybrid discrete artificial bee colony... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Abdelhak Etchiali, Fethallah Hadjila and Amina Bekkouche    
Currently, the selection of web services with an uncertain quality of service (QoS) is gaining much attention in the service-oriented computing paradigm (SOC). In fact, searching for a service composition that fulfills a complex user?s request is known t... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Sani. I. Abba, Jamilu Usman, Ismail Abdulazeez, Dahiru U. Lawal, Nadeem Baig, A. G. Usman and Isam H. Aljundi    
The need for reliable, state-of-the-art environmental investigations and pioneering approaches to address pressing ecological dilemmas and to nurture the sustainable development goals (SDGs) cannot be overstated. With the power to revolutionize desalinat... ver más
Revista: Water    Formato: Electrónico

 
en línea
Mohammad H. Nadimi-Shahraki, Zahra Asghari Varzaneh, Hoda Zamani and Seyedali Mirjalili    
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been proposed to... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ziwei Zhang    
Concrete is a highly regarded construction material due to many advantages such as versatility, durability, fire resistance, and strength. Hence, having a prediction of the compressive strength of concrete (CSC) can be highly beneficial. The new generati... ver más
Revista: Buildings    Formato: Electrónico

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