Source-linked AI summary
Cuckoo Search: A Brief Literature Review
I. Fister Jr., X. S. Yang, D. Fister, I. Fister
TL;DR
The chapter addresses the need to orient readers in rapidly expanding cuckoo-search literature, where theoretical studies remain limited. It categorizes obtainable papers across variants, applications, and implementation and theory; the review describes a diverse, active field and identifies areas for further study.
Problem
Method
It reviews obtainable CS papers and organizes references into categories covering variants, engineering, applications, theory, and implementation.
Source: §1 · pp. 1–2, §5.3 · p. 7Results
Takeaways & Limitations
The authors call for more theoretical analysis, parameter tuning in efficient variants, and applications to large-scale real-world problems.
Source: §6 · p. 7The review includes 114 obtainable full papers and may represent only a fraction of the literature.
Source: §1 · p. 1
Abstract
from arXiv · showhide
Cuckoo search (CS) was introduced 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.
1 Introduction
Cuckoo search (CS), introduced in 2009, has expanded from numerical optimization to applications across many domains. This chapter organizes a broad but necessarily incomplete selection of its literature into four parts.
Background
- CS was introduced in 2009 for numerical function optimization and continuous problems, and early tests reported better results than PSO and GA.Researchers subsequently applied it to engineering optimization, where it also showed promising results.Source: §1 · p. 1
Scope
- The chapter includes 114 obtainable full papers, which may represent only a fraction of the expanding literature.The authors note that many papers may still be in press and that they could not obtain all papers.Source: §1 · p. 1
Aim
- The chapter aims to provide a brief, relatively comprehensive list of recent CS literature to help readers understand major studies.Source: §1 · p. 1
Organization
- Its four parts cover CS variants, engineering optimization, applications, and implementation and theoretical studies, before concluding with research suggestions.Source: §1 · pp. 1–2
2 Cuckoo Search: Variants and Hybrids
This section surveys CS variants for numerical and multi-objective optimization, along with hybrid methods. It describes a range of approaches rather than reporting a comparative performance result.
2.1 Variants
- The original CS was tested on numerical benchmarks, and researchers developed variants; one cited study sought improved efficiency or comparable solutions for multimodal problems.The chapter identifies benchmark suites as a basis for fair algorithm comparisons [107].Source: §2.1 · p. 2
2.2 Hybrid Algorithms
- CS hybridization addresses difficulty on some problems and has been applied with optimization algorithms, machine learning, and heuristics.Hybridization may alter initialization, evaluation, or movement; Table 2 summarizes some variants.Source: §2.2 · pp. 2–3, Table 2 · p. 3
2.3 Multi-objective Optimization
- Multi-objective cuckoo search variants have been developed to seek solutions as close to the true Pareto front as possible while generating solutions as diversely as possible across the non-dominated front.Source: §2.3 · p. 3
3 Engineering Optimization
Engineering design accounts for the largest fraction of the CS application literature described here, with studies spanning almost every engineering domain.
Engineering design
- Engineering design is the largest application area in the CS literature, with applications reported across almost every engineering domain.The chapter presents examples in Figure 2 and Table 3.Source: §3 · p. 4, Figure 2 · p. 4
4 Applications
CS and its variants have been applied across sciences, engineering, and industry, extending beyond engineering optimization.
Applications
- CS applications span almost every area of science, engineering, and industry, with examples summarized in Figure 3 and Table 4.Source: §4 · p. 4
5 Theoretical Analysis and Implementation
The review notes that theoretical studies of cuckoo search are limited relative to its diverse applications, and cautions that some studies are difficult to classify. It surveys theory and algorithm analysis, loosely grouped improvements, and implementation approaches.
5 Theoretical Analysis and Implementation
- Theoretical studies remain limited compared with cuckoo search's diverse applications.Source: §5 · p. 4
5.1 Theory and Algorithm Analysis
- Theoretical studies span conceptual comparisons of CS with PSO, differential evolution, and artificial bee colony [13], orthogonal learning, and centroidal Voronoi initialization.The review says categorization may be imprecise because studies can combine simulations with algorithm analysis.Source: §5.1 · p. 4
- Other theoretical work covers reduced-order mesh optimization, a bat-algorithm tutorial, inverse problems, Markov convergence, and CS improvement [75].Source: §5.1 · pp. 4, 7
5.2 Improvements and Other Studies
- Studies loosely classified as improvements to standard cuckoo search include Tsallis entropy, improved scatter search using cuckoo search, runoff-erosion model optimization, improved differential evolution, and conjugate-gradient methods [72].Source: §5.2 · p. 7
5.3 Implementations
- The review identifies object-oriented and parallelized implementations as important implementation approaches.It also points to Yang's standard demo implementation.Source: §5.3 · p. 7
6 Conclusion
The chapter presents a systematically categorized, relatively comprehensive bibliography of cuckoo search literature. It calls for further theoretical analysis, efficient-variant parameter tuning, and applications to large-scale real-world problems.
6 Conclusion
- The chapter presents a relatively comprehensive bibliography of cuckoo search, systematically sorted into categories.Source: §6 · p. 7
- Further work should analyze variants theoretically, tune parameters in efficient variants, and focus applications on large-scale real-world problems.Source: §6 · p. 7