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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 ...
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Jiahao Chen, Jiaxin Li, Deqian Zheng, Qianru Zheng, Jiayi Zhang, Meimei Wu and Chaosai Liu
The multi-field coupling of grain piles in grain silos is a focal point of research in the field of grain storage. The porosity of grain piles is a critical parameter that affects the heat and moisture transfer in grain piles. To investigate the distribu...
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Zhuoming Du, Junfeng Zhang, Zhao Ma and Jiaxin Xu
Collaboration between terminal airspace and airport surface operation shows an increasing significance for the best efficiency of both parts of the air traffic management domain. Runways play a critical role in connecting the two parts for departure and ...
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Marko Gulic and Martina ?u?kin
In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively switches between the Genetic Algorithm and the African Buffalo Optimization du...
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Hsin-Hung Cho, Wei-Che Chien, Fan-Hsun Tseng and Han-Chieh Chao
To extend a network?s lifetime, wireless rechargeable sensor networks are promising solutions. Chargers can be deployed to replenish energy for the sensors. However, deployment cost will increase when the number of chargers increases. Many metrics may af...
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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...
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Sílvia de Castro Pereira, Eduardo J. Solteiro Pires and Paulo B. de Moura Oliveira
A new algorithm based on the ant colony optimization (ACO) method for the multiple traveling salesman problem (mTSP) is presented and defined as ACO-BmTSP. This paper addresses the problem of solving the mTSP while considering several salesmen and keepin...
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Gill Velleda Gonzales, Cesare Biserni, Emanuel da Silva Diaz Estrada, Gustavo Mendes Platt, Liércio André Isoldi, Luiz Alberto Oliveira Rocha, Antônio José da Silva Neto and Elizaldo Domingues dos Santos
A new complex geometry cavity is optimized by associating the constructal design (CD) method with the differential evolution (DE) algorithm. Statistical analyses are performed to indicate the best parameters of the meta-heuristic to be applied during the...
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Simone Ciccolella, Gianluca Della Vedova, Vladimir Filipovic and Mauricio Soto Gomez
Being able to infer the clonal evolution and progression of cancer makes it possible to devise targeted therapies to treat the disease. As discussed in several studies, understanding the history of accumulation and the evolution of mutations during cance...
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Fulin Jiang, Lin Li, Yiming Tang, Hailong Zhang and Xiaoping Liu
The layout of facilities in a logistics scenario involves not only the working facilities responsible for processing materials but also the transport lines responsible for transporting materials. The traditional facility layout methods do not take into a...
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