Results 191 to 200 of about 41,851 (257)

GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling. [PDF]

Sensors (Basel)
Zhou Y, Jiang J, Shi Q, Fu M, Zhang Y, Chen Y, Zhou L.   +6 more
europepmc   +1 more source

Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models. [PDF]

Plant Genome
Tomura S, Wilkinson MJ, Powell O, Cooper M.   +3 more
europepmc   +1 more source

Comprehensive Pediatric Health Risk Stratification Using an AI-Driven Framework in Children Aged 2 to 8 Years: Design and Validation Study.

JMIR Med Inform
Mao Z, Chen J.
europepmc   +1 more source

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Parallel genetic algorithms with schema migration

Proceedings 26th Annual International Computer Software and Applications, 2003
Genetic algorithms (GAs) are efficient non-gradient stochastic search methods. Parallel GAs are proposed to overcome the deficiencies of sequential GAs, such as low speed and aptness to locally converge. However the tremendous communication cost incurred offsets the advantages of parallel GAs.
null Baowen Xu, null Yu Guan, null Zhenqiang Chen, K.R.P.H. Leung   +3 more
openaire   +1 more source

Schema genetic algorithm for fractal image compression

Engineering Applications of Artificial Intelligence, 2007
In this paper, fractal image compression using schema genetic algorithm (SGA) is proposed. Utilizing the self-similarity property of a natural image, the partitioned iterated function system (PIFS) will be found to encode an image through genetic algorithm (GA) method.
Ming-Sheng Wu, Jyh-Horng Jeng, Jer-Guang Hsieh   +2 more
openaire   +1 more source

Schema theorem of real-coded nonlinear genetic algorithm

Proceedings. International Conference on Machine Learning and Cybernetics, 2003
Through the mechanism analysis of simple genetic algorithm (SGA), every genetic operator can be considered as a linear function. So some disadvantages of SGA may be solved if the genetic operators are modified to a nonlinear function. According to the above method, a nonlinear genetic algorithm is introduced.
null Zhi-Hua Cui, null Jian-Chao Zeng
openaire   +1 more source