Results 231 to 240 of about 117,773 (298)

High-performance temperature regulation of nonlinear CSTRs via a hybrid stellar oscillation optimizer and differential evolution-based PID-F control. [PDF]

Sci Rep
Ekinci S, Turkeri C, Gokalp I, Li Y, Li D.   +4 more
europepmc   +1 more source

Revisiting Myositis Ossificans: A Comprehensive Stage-by-Stage Imaging Review. [PDF]

Muscles
Gullì C, Ferrara G, Ferravante E, Calbi R, Di Diego M, Parisi D, Perla D, Villa T, Natale L.   +8 more
europepmc   +1 more source

A parameter estimation method for modelling proton exchange membrane fuel cell based on enhanced meta evolutionary differential evolution algorithm. [PDF]

Sci Rep
Pattanaik V, Parida SM, Malika BK, Rout PK, Sahu BK, Padhi JR.   +5 more
europepmc   +1 more source

Soliton solutions for the nonlinear Zoomeron equation applying the modified Khater method. [PDF]

Sci Rep
Saleem A, Abbas M, El-Rahman MA, Birhanu A, Yousaf MZ, Ahmad H.   +5 more
europepmc   +1 more source

Mechanistic neural operator framework for multi-objective optimization of Ti-6Al-4 V metal matrix composites. [PDF]

Sci Rep
Lakshmaiya N, Chakrapani G, Sagar V, Rajendran A, Maranan R, Rajhi AA, Duhduh AA, Khan WA.   +7 more
europepmc   +1 more source

Improved Differential Evolution Based on Mutation Strategies

, 2018
Differential Evolution (DE) has been regarded as one of the excellent optimization algorithm in the science, computing and engineering field since its introduction by Storm and Price in 1995. Robustness, simplicity and easiness to implement are the key factors for DE’s success in optimization of engineering problems. However, DE experiences convergence
John Saveca, Zenghui Wang 0001, Yanxia Sun 0001   +2 more
openaire   +3 more sources

An improved (μ+λ)-constrained differential evolution for constrained optimization

Information Sciences, 2013
Jia G, Wang Y, Cai Z, Jin Y. An improved (μ+λ)-constrained differential evolution for constrained optimization. Information Sciences. 2013;222:302-322.To overcome the main drawbacks of (μ + λ)-constrained differential evolution ((μ + λ)-CDE) [45], this ...
Yong Wang, Zixing Cai, Yaochu Jin
exaly   +2 more sources

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Differential evolution with improved population reduction

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2011
In the Differential Evolution (DE), there are many adaptive DE algorithms proposed for parameter adaptation. However, they are mainly focus on the the mutation factor F and crossover probability CR. The adaptation of population size NP is not widely studied in the scope of DE.
Ming Yang 0003, Zhihua Cai, Jing Guan, Wenyin Gong   +3 more
openaire   +1 more source

Improved differential evolution for microarray analysis

International Journal of Data Mining and Bioinformatics, 2012
Clustering is an important tool for analysing the microarray data to identify groups of co-expressed genes. The problem of fuzzy clustering in microarray data motivated us to develop an improved clustering algorithm. In this paper, an improved differential evolution based fuzzy clustering technique is proposed.
Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay   +3 more
openaire   +2 more sources