Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
By Xin-She Yang, Seyyed Soheil Sadat Hosseini, Amir H. Gandomi. Applied Soft Computing, 2012
638 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/71c06cc3993b574d2f5dcd2cf6007e2c78887e44
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In Electrical and Electronic Engineering
- Arpan Kumar Kar
- Zhongyi Hu
- Tao Xiong
- Yukun Bao
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Citations in the corpus
- Bio inspired computing - A review of algorithms and scope of applications (2016, methodology): “Firefly algorithms (Yang, 2009; Lukasik & Zak, 2009; Gandomi et al., 2011; Yang et al., 2012) were introduced to address NP hard problems with non-convex objective functions which have equality and inequality based constraints.”
- Economic dispatch using chaotic bat algorithm (2016, methodology): “Algorithm Best fuel cost($/hr) Mean fuel cost($/hr) Max. fuel cost($/hr) Standard deviation Average computation/run time (seconds) 1 CBA 15,450.2381 15,454.76 15,518.6588 2.965 0.704 2 DE [46] 15,449.5826 15,449.62 15,449.6508 NA 3.634 s 3 GAAPI [32] 15,449.78 15,449.81 15,449.85 NA NA 4 MABC [41] 1”
- Differential evolution with multi-population based ensemble of mutation strategies (2016, neutral): “2733e+04 32735e+04 32756e+04 SA–PSO [26] 32708e+04 32747e+04 32807e+04 FA [62] 32705e+04 32856e+04 33175e+04”
- Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting (2014, methodology): “Concerning the parameter selection of MSVR, the superiority of firefly algorithm (FA) against GA and PSO in existing studies [29-31] motivates us to use the FA for parameters selection of MSVR.”
- A hybrid support vector regression–firefly model for monthly rainfall forecasting (2018, background): “where α is coefficient of randomization having a value is between 0 and 1 and εi is the random vector that is commonly derived from a Gaussian distribution (Yang et al. 2012).”
- A survey on new generation metaheuristic algorithms (2019, background): “Yang (2012b) proposes a flower pollination algorithm, inspired by the pollination process of flowers.”