A Comprehensive Review of the Fireworks Algorithm

Abstract

The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been attracting more and more research interest and has been widely employed in many real-world problems due to its unique search manner and high efficiency. In this article, we present a comprehensive review of its advances and applications. We begin with an introduction to the original fireworks algorithm. Then we review its algorithmic research work for single objective and multi-objective optimization problems. After that, we present the theoretical analyses of the fireworks algorithm. Finally, we give a brief overview of its applications and implementations. Hopefully, this article could provide a useful road map for researchers and practitioners who are interested in this algorithm and inspire new ideas for its further development.

Optimization of Massive MIMO-OFDM Systems for PAPR Reduction

“…The transmitter and receivers are utilized for performing beam forming and diversity actions. In the OFDM, numerous channels are isolated into various sub channels that are firmly separated for dependable correspondence [4]. This course of action wipes out most noteworthy issue in the MIMO-OFDM.…”

“…At the point when the guard interval is longer than delay spread, it does not produce overlapping of signals and do not leads to ISI [5]. [4]. The signal power gets large peaks, so that the amplifiers work at saturation region which prompts to signal distortion.…”

“…This exploits spatial diversity. So, MIMO OFDM has been adopted as one of the most important techniques for upcoming mobile wireless systems [4].…”

“…In the OFDM framework with N subcarriers, the greatest power happens when the majority of the N subcarrier parts happen to be included with indistinguishable stages. We are regularly keen on finding the likelihood that the signal power is out of the straight scope of the HPA [4]. Towards this end, we first consider the dissemination of yield signs for IFFT in the OFDM framework.…”

Learning Automata-Based Fireworks Algorithm on Adaptive Assigning Sparks

“…Fireworks algorithm (FWA) is inspired by the phenomenon of fireworks explosion and proposed by Tan [ 1 , 2 ]. Fireworks are initialized in solution space randomly in FWA and sparks are generated by the explosion process of fireworks.…”