Cuckoo search (CS) was introduced by Xin-She Yang and Suash Deb in 2009, and it has attracted great attention due to its promising efficiency in solving many optimization problems and real-world applications. In the last few years, many papers have been published regarding cuckoo search, and the relevant literature has expanded significantly. This chapter summarizes briefly the majority of the literature about cuckoo search in peer-reviewed journals and conferences found so far. These references can be systematically classified into appropriate categories, which can be used as a basis for further research.

Cuckoo Search: A Brief Literature Review

Cuckoo Search (CS) algorithm is nature inspired global optimization algorithm based on the brood parasitic behavior of cuckoos. It has proved to be an efficient algorithm as it has been successfully applied to solve a large number of problems of different areas. CS employs Levy flights to generate step size and to search the solution space effectively. The local search is carried out using switch probability in which certain percentages of solutions are removed. Though CS is an effective algorithm, still its performance can be improved by incorporating the exploration and exploitation during the search process. In this work, three modified versions of CS are proposed to improve the properties of exploration and exploitation. All these versions employ Cauchy operator to generate the step size instead of Levy flights to efficiently explore the search space. Moreover, two new concepts, division of population and division of generations, are also introduced in CS so as to balance the exploration and exploitation. The proposed versions of CS are tested on 24 standard benchmark problems with different dimension sizes and varying population sizes and the effect of probability switch has been studied. Apart from this, the best of the proposed versions is also tested on CEC 2015 benchmark suite. The modified algorithms have been statistically tested in comparison to the state-of-the-art algorithms, namely grey wolf optimization (GWO), differential evolution (DE), firefly algorithm (FA), flower pollination algorithm (FPA) and bat algorithm (BA). The numerical and statistical results prove the superiority of the proposed versions with respect to other popular algorithms available in the literature.

New cuckoo search algorithms with enhanced exploration and exploitation properties

http://cyberleninka.ru/article/n/shkola-proektirovaniya-svch-ustroystv-v-cst-studio-suite.pdf

Школа проектирования СВч устройств в cst Studio suite

Cuckoo search (CS) is an efficient swarm-intelligence-based algorithm and significant developments have been made since its introduction in 2009. CS has many advantages due to its simplicity and efficiency in solving highly non-linear optimisation problems with real-world engineering applications. This paper provides a timely review of all the state-of-the-art developments in the last five years, including the discussions of theoretical background and research directions for future development of this powerful algorithm.

A comprehensive review of cuckoo search: variants and hybrids

The primary focus of this paper is to discuss the modeling of jitter caused by power supply noise (PSN), named power supply induced jitter (PSIJ). A holistic discussion is presented from the basics of power delivery networks to PSN and eventually to the modeling of PSIJ. The in-depth details and a review of several methodologies available in the literature for the estimation of PSIJ are presented.

A Review on Power Supply Induced Jitter

Proper transmission of high speed signal requires sufficiently high bandwidth of the medium. The reference planes play a vital role in achieving distortion-free signal propagation. In this paper a BGA package design exhibiting resonance conditions in insertion loss is analyzed. Analysis led to ground path issues caused by return current density congestions. Improvement in ground return path layout led to elimination of resonance conditions. Re-designed package is meeting the intended design target for HDMI 2.0 standards.

A case study of BGA package for high speed channel with non-ideal ground induced resonance conditions

In this paper, a meta-heuristic optimization algorithm is proposed for the design of Electromagnetic Band Gap (EBG) structures to suppress simultaneous switching noise (SSN) on printed circuit boards. This algorithm offers optimized dimensions of EBG unit cell at desired frequency band. A design example of 2D planar EBG structure in the specified frequency band is presented. The simulated results are found to be in good agreement with the analytical results.

Mitigation of simultaneous switching noise on EBG planes using firefly algorithm

Signal Integrity (SI) and Power Integrity (PI) are the most inportant characteristics for system level design, simulation and analysis of high speed systems. In this paper, HSLINK system is optimized for better SI and PI. Linear models for eye amplitude and jitter are derived by Design of Experiments (DOE). Cost effective solution strategy is also presented using linear models obtained.

Cost-effective optimization of serial link system for Signal Integrity and Power Integrity

This paper presents application of nature inspired algorithms for solving an industrial problem of power delivery network design. To achieve the target impedance in a power delivery network, optimum number of decoupling capacitors and their optimum locations on board are found from thousands of available capacitors. S-parameters based data is used for the accurate analysis. Three natural computing algorithms - Particle Swarm Optimization, Cuckoo Search and Firefly Algorithm are used and compared for solving this problem.

Application of nature inspired algorithms in power delivery network design: An industrial case study

Due to advancement in technology and higher demand of frequency, the effect of jitter components, especially inter-symbol interference (ISI), plays significant impact on performance of high speed serial links The analysis of jitter components is useful for testing of high speed circuits In this paper, an efficient methodology for estimation of inter-symbol interference using clock pattern is described and a brief overview of other jitter components segregation techniques are introduced This methodology is implemented in MATLAB and the results are efficiently verified with other CAD tools such as Agilent ADS and with adaptive filtration method (also known as equalization method) The error percentages in proposed method are within 12%

http://ieeexplore.ieee.org/iel7/7222824/7236526/07236844.pdf

Raj Kumar Nagpal

Papers

A case study of BGA package for high speed channel with non-ideal ground induced resonance conditions

Mitigation of simultaneous switching noise on EBG planes using firefly algorithm

Cost-effective optimization of serial link system for Signal Integrity and Power Integrity

Application of nature inspired algorithms in power delivery network design: An industrial case study

Estimation of inter-symbol interference using clock pattern