Butterfly Mating Optimization

Jada, Chakravarthi; Vadathya, Anil Kumar; Shaik, Anjumara; Charugundla, Sowmya; Ravula, Parabhaker Reddy; Rachavarapu, Kranthi Kumar

doi:10.1007/978-3-319-23036-8_1

Cited by 10 publications

(12 citation statements)

References 10 publications

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“…In BIC, the behavior of butterflies has inspired researchers in the pursuit of solutions for solving routing problems in highly dynamic, complex, and evolvable SG environments. 42 Generally, because of their short lifespan, the communication in butterflies is mainly focusing on mating to produce a new fittest generation in a habitat. Butterflies mate-locating system is important to promote the population of butterflies because the expected lifetime of the butterfly is very short, mostly about 1 to 2 weeks.…”

Section: Butterfly Mating Optimization (Bmo)mentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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Recently, the advences of Industry 4.0 have paved the way for a systematical deployment of the smart grid (SG) to manage continuously growing energy demand of the 21st century. This even allows the fourth stage of the industrial revolution in the power sector, which is known as the smart grid industry (SGI) 4.0. In SGI 4.0, the industrial wireless sensor networks (WSNs) and the Internet of Things are envisioned as key promising communication technologies for monitoring various SG applications due to their large-scale coverage, fault tolerance characteristics, and cost reduction. However, highly dynamic nature of the SG environments brings several unique challenges caused by systems and operating devices. This results in hampering the quality-of-service communication requirements for WSNs-based SG applications. In SGI 4.0, the routing infrastructure not only requires a reliable but also fulfills the communication requirements of diverse SG applications. Thus, a sophisticated, reliable and QoS-aware multi-hop communications network architecture enabling a real-time exchange of data for various WSNs-based SG applications is essential in SGI 4.0. Hence, this paper proposes a novel bio-inspired self-optimized butterfly mating optimization-based data gathering routing scheme called Self-optimized Intelligent routing protocol (SIRP) for WSNs-based SG applications. The extensive simulations reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for WSNs-based applications.Trans Emerging Tel Tech. 2019;30:e3503.wileyonlinelibrary.com/journal/ett streamline management operations are connected using wired networks working over industrial protocols in traditional factories. However, compared with a wired network, the wireless networking solution plays a complementary role to empower control and management competencies of the factory elements in I 4.0. To this end, industrial wireless sensor networks (IWSNs) are envisioned as a valuable technology to realize the vision of I 4.0 because of their low-cost sensing, identifying, processing, and networking capabilities. The IWSNs provide physical industry world information to a user located in a remote location to realize distinct objectives. 10,11 The fundamental characteristics of IWSN-based networking solution in I 4.0 is to provide least maintenance cost by avoiding excessive breakdowns in a defined time interval for enabling smart production reliability and increasing economic benefits. Therefore, IWSN, with these aims, has revealed its prominence in various industrial applications, including modern agriculture, transportation, steel mills, healthcare systems, area surveillance, gas and oil industry, and many others. 12,13 The quality-of-service (QoS)-aware cooperative multihop communication in IoT-enabled smart grid (SG) is highly dependent on a number of performance metrics like coverage, scalability, stability, latency, lifetime, and complexity of the network. In IoT-enabled SG, IWSNs through IoT connect various industrial ...

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Section: Butterfly Mating Optimization (Bmo)mentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…Butterfly Mating Optimization (BMO) [11] is a recently developed meta-heuristic algorithm that mimics the mating behavior of butterflies. BMO algorithm utilizes the principle of bionics, simulating the butterfly which confirms the position of a local mate butterfly in the mating process by using ultraviolet intensity reflected and absorbed by itself [11].…”

Section: Butterfly Mating Optimization Algorithmmentioning

confidence: 99%

“…BMO algorithm utilizes the principle of bionics, simulating the butterfly which confirms the position of a local mate butterfly in the mating process by using ultraviolet intensity reflected and absorbed by itself [11]. Male butterflies use color and scent during mating to hunt for mates.…”

Section: Butterfly Mating Optimization Algorithmmentioning

confidence: 99%

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A Novel Binary Butterfly Mating Optimization Algorithm With Subarray Strategy for Thinning of Large Antenna Array

Wu¹,

Liu²,

Li³

et al. 2017

PIER M

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Abstract-This paper presents a novel binary algorithm named as binary butterfly mating algorithm (BBMO) combined with subarray strategy for thinning of antenna array. The proposed algorithm has been adapted from a recently developed nature inspired optimization, butterfly mating optimization (BMO). The subarray strategy is dividing the linear array into two parts, one part with a fixed number of element turned on in the middle of array and the rest elements on the edge of array composing another subarray. In order to reduce the complexity of the thinning process, BBMO algorithm is used to optimize the element on the edge of an array. The proposed BBMO with subarray strategy is used to synthesize a linear sparse antenna array in order to reduce maximum sidelobe level and at the same time keeping the percentage of thinning equal to or more than the desired level. To evaluate the performance of the proposed thinning method, a linear array with 100 elements is optimized by BBMO algorithm without and with subarray strategy. And we discuss the impact of number of fixed elements on thinning results. The novel method BBMO with subarray strategy gives reduced SLL as compared to the results available in literature of ant colony algorithm, genetic algorithm, binary differential evolution algorithm, chaotic binary particle swarm optimization, and improved binary invasive weed optimization algorithm. Moreover, the convergence rate of BBMO with subarray strategy is faster than BBMO without subarray strategy and the other methods.

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“…Among all intelligence algorithms, butterfly mating optimization (BMO) [24], inspired by the wise communication tools of heterosexual butterflies [25], has emerged as a new practical concept to solve optimization problems. BMO has been applied to thinning problems for a large antenna array [26] and matching network optimization [27] with characteristics of high practicality.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Adaptive Butterfly Mating Optimization and Its Applications in Synthesis and Structure Optimization of Antenna Arrays

Liu

et al. 2019

International Journal of Antennas and Propagation

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A novel chaotic adaptive butterfly mating optimization (CABMO) is proposed to be used in synthesizing the beam pattern. In order to improve the optimization accuracy and avoid trapping in the local optimum, the homogeneous chaotic system and adaptive movement mechanism are combined into the proposed algorithm, where the initialization and redistribution of butterflies are chaotically dispersed with an adaptive movement closely related to the ultraviolet changes. After validating the performance of CABMO through several benchmark functions with different dimensions, the improved algorithm outperforms when compared to other state-of-the-art nature-inspired metaheuristic algorithms. The proposed algorithm is then used to understand any linear array problems in terms of the sidelobe reduction. Finally, a CABMO strategy is utilized to optimize the mutual coupling model of the closely spaced VLF umbrella arrays. Results show that the optimized structure has comfortably outperformed the original structure. Full scanning of wave positions is realized from 15 to 30 kHz. The synthesis patterns are close to the theoretical optimum. The optimized results of the radiation performance and synthesized patterns demonstrate that the pattern synthesis and antenna structure optimization based on the CABMO algorithm provides a novel idea for antenna array optimization.

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Butterfly Mating Optimization

Cited by 10 publications

References 10 publications

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

A Novel Binary Butterfly Mating Optimization Algorithm With Subarray Strategy for Thinning of Large Antenna Array

Chaotic Adaptive Butterfly Mating Optimization and Its Applications in Synthesis and Structure Optimization of Antenna Arrays

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