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Intro
Preface
Contents
Editor and Contributors
1 Flower Pollination Algorithm: Basic Concepts, Variants, and Applications
1 Introduction
2 Biological Inspirations: Pollination of Flowering Plants
3 Flower Pollination Optimization Algorithm (FPA)
3.1 Global Search in FPA: Biotic Pollination Process
3.2 Local Search in FPA: Abiotic Pollination Process
3.3 Switch Probability in FPA
3.4 Parametric Study for FPA
3.5 Implementation of FPA
3.6 Advantages of FPA
4 Variants of FPA
4.1 Multi-objective Flower Pollination Algorithm (MOFPA)

4.2 Modified Flower Pollination Algorithms (M-FPA)
4.3 Hybridized Variants of FPA
5 Applications of FPA and Its Variants
6 Comparative Analytical Studies of FPA and its Variants
7 Limitations of FPA
8 Challenging Problems in FPA
9 Conclusions
References
2 Optimization of Non-rigid Demons Registration Using Flower Pollination Algorithm
1 Introduction
2 Methodology
2.1 Demons Registration
2.2 Flower Pollination Algorithm
3 Proposed Method
4 Results and Discussion
5 Conclusion
References

3 Adaptive Neighbor Heuristics Flower Pollination Algorithm Strategy for Sequence Test Generation
1 Introduction
2 T-way Tests Generation Problem
2.1 T-way Tests Generation
2.2 Sequence t-way Tests Generation
3 Related Works
4 Adaptive Neighbor Heuristics Flower Pollination Algorithm Strategy
5 Experimental Results
5.1 Benchmarking with Existing Strategies
5.2 Convergence Rate Analysis
6 Summary
References
4 Implementation of Flower Pollination Algorithm to the Design Optimization of Planar Antennas
1 Introduction
2 Flower Pollination Algorithm

2.1 Pollination Phenomenon
2.2 Modeling of Flower Pollination Algorithm
3 The Cooperating Platform for Simulation and Optimization of the Antenna Designs
3.1 The Cooperating Platform
3.2 S-parameters
3.3 Cooperation of FPA and the Simulator
4 The Optimized Designs of Planar Antennas
4.1 UWB Antenna Design
4.2 Dual BN Characteristic Optimization of the UWB Antenna
4.3 Single UWB Antenna Element for a Quad-Element MIMO Antenna
4.4 Quad-Element MIMO Antenna
5 Conclusions
References
5 Flower Pollination Algorithm for Slope Stability Analysis
1 Introduction

2 Problem Statement
2.1 Generation of Trial Slip Surface
2.2 Calculation of Factor of Safety
2.3 Application of Optimization Method
3 Flower Pollination Algorithm
4 Numerical Analysis
4.1 Sensitivity Analysis
4.2 Case-1
4.3 Case-2
4.4 Case-3
5 Discussion and Conclusions
References
6 Optimum Sizing of Truss Structures Using a Hybrid Flower Pollinations
1 Introduction
2 Sizing Optimization Problem
3 Optimization Algorithms
3.1 Flower Pollination Algorithm
3.2 Differential Evolution
3.3 Hybrid Flower Pollination-Differential Evolution

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