A Cuckoo Search Algorithm with Complex Local Search Method for Solving Engineering Structural Optimization Problem

Qu, Changzheng; He, Wei

doi:10.1051/matecconf/20164009009

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Like the previous strategies, the best answer is handed down to the next generation. Amount of possible host nests is predetermined, and the host has a specific chance of discovering the cuckoo's egg (Qu and He, 2016). Ant Colony Optimization is a system that replicates the attitude of ants in determining the shortest paths among their sources of food and colony.…”

Section: Optimization Techniques/algorithmsmentioning

confidence: 99%

A review on developing optimization techniques in civil engineering

Zaheer

Manzoor²,

Ahamad³

2023

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PurposeThe purpose of this article is to analyze the optimization process in depth, elaborating on the components of the entire process and the techniques used. Researchers have been drawn to the expanding trend of optimization since the turn of the century. The rate of research can be used to measure the progress and increase of this optimization procedure. This study is phenomenal to understand the optimization process and different algorithms in addition to their application by keeping in mind the current computational power that has increased the implementation for several engineering applications.Design/methodology/approachTwo-dimensional analysis has been carried out for the optimization process and its approaches to addressing optimization problems, i.e. computational power has increased the implementation. The first section focuses on a thorough examination of the optimization process, its objectives and the development of processes. Second, techniques of the optimization process have been evaluated, as well as some new ones that have emerged to overcome the above-mentioned problems.FindingsThis paper provided detailed knowledge of optimization, several approaches and their applications in civil engineering, i.e. structural, geotechnical, hydraulic, transportation and many more. This research provided tremendous emerging techniques, where the lack of exploratory studies is to be approached soon.Originality/valueOptimization processes have been studied for a very long time, in engineering, but the current computational power has increased the implementation for several engineering applications. Besides that, different techniques and their prediction modes often require high computational strength, such parameters can be mitigated with the use of different techniques to reduce computational cost and increase accuracy.

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Section: Optimization Techniques/algorithmsmentioning

confidence: 99%

A review on developing optimization techniques in civil engineering

Zaheer

Manzoor²,

Ahamad³

2023

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“…Likewise, the design of reliable embedded systems using the CSA as a multi-objective optimization can also be found in [14]. Engineering Structural design optimization and structural damage identification using CSA are investigated in [15], [16]. The CSA is also used in signal processing to design a stable higher order infinite impulse response (IIR) filters such as low pass filter (LPF) and high pass filter (HPF) as indicated in [17].…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of Floating Point Based Cuckoo Search Algorithm

Issa

Ahmed

2019

IEEE Access

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Cuckoo search algorithm (CSA) has been a candidate for numerous recent applications and showed great compatibility in solving optimization problems. It is a metaheuristic algorithm which is based on the odd breeding strategy of the Cuckoo bird spices. It is used to find an optimum or near optimum solution for a certain problem. In this research, we propose an FPGA hardware implementation for the CSA based on single precision IEEE floating point (FP). The FP format provides a wider range and higher precision when compared to fixed point format. To the best of our knowledge, this is the first study to consider implementing FP format-based CSA on FPGA. The proposed design is implemented using pipelined and parallel techniques to get a high throughput and speed. The design is controlled and coordinated using finite state machines (FSMs) modules and is configured on Cyclone IV E FPGA chip from Intel. Three common benchmark functions are used to evaluate the performance of the proposed design. The design has a maximum operating frequency of 99 MHz. It was found out the maximum power consumption for the most complex function is 610.28 mW, mainly due to the use of FP format. In addition, the proposed design is implementation and evaluated for multidimensional operation. Accordingly, the proposed design is suitable for path planning for unmanned aerial vehicles (UAVs), sensor deployments for wireless sensor networks (WSNs) in addition to medical diagnostic and DSP applications. INDEX TERMS Cuckoo search algorithm (CSA), field programmable gate array (FPGA), finite state machine (FSM), IEEE floating point format.

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Cuckoo Search Algorithm

Shehab¹

2019

Artificial Intelligence in Diffusion MRI

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A Cuckoo Search Algorithm with Complex Local Search Method for Solving Engineering Structural Optimization Problem

Cited by 5 publications

References 15 publications

A review on developing optimization techniques in civil engineering

A review on developing optimization techniques in civil engineering

FPGA Implementation of Floating Point Based Cuckoo Search Algorithm

Cuckoo Search Algorithm

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