A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
The ant colony optimization meta-heuristic
New ideas in optimization
An introduction to differential evolution
New ideas in optimization
A survey of free-form object representation and recognition techniques
Computer Vision and Image Understanding
ICP Registration Using Invariant Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Global Optimization
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
A review of recent range image registration methods with accuracy evaluation
Image and Vision Computing
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
Performance evaluation of memetic approaches in 3D reconstruction of forensic objects
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Emerging Trends in Soft Computing - Memetic Algorithms; Guest Editors: Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi
Editorial: Special issue on new advances in 3D imaging and modeling
Computer Vision and Image Understanding
Biogeography-based optimization and the solution of the power flow problem
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Solving the sum-of-ratios problems by a harmony search algorithm
Journal of Computational and Applied Mathematics
Harmony search algorithm for solving Sudoku
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Proceedings of the 12th annual conference on Genetic and evolutionary computation
An analysis of the equilibrium of migration models for biogeography-based optimization
Information Sciences: an International Journal
Biogeography-Based Optimization for the Traveling Salesman Problems
CSO '10 Proceedings of the 2010 Third International Joint Conference on Computational Science and Optimization - Volume 01
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
A hybrid harmony search algorithm for the spread spectrum radar polyphase codes design problem
Expert Systems with Applications: An International Journal
Optimization of the material flow in a manufacturing plant by use of artificial bee colony algorithm
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Deterministic or analytical methods for computing the global optima of a functional have been extensively applied in a wide range of engineering applications. Nevertheless, it is wellknown they usually lack of effectiveness when dealing with complex nonlinear optimization problems. In particular, such a shortcomings have been addressed by using approximate approaches, named metaheuristics. Among them all, those methods using a population-based scheme, e.g. the evolutionary algorithms, have been the most successful optimization strategies. Recently, innovative population-based algorithms such as ABC, BBO, and HS have arisen as promising optimization methods due to they provide a good tradeoff between design and performance when compared to other more elaborated methods. In this work, we aim to first introduce the particular design of these three cutting edge algorithms, and additionally analyse their performance when tackling a challenging real-world optimization problem. In particular, our case study of numerical optimization tackles a computer vision problem named 3D range image registration for 3D modeling tasks. Computational experiments have been conducted comparing the performance of ABC, HS, and BBO against other contributions in the state-of-the-art of 3D image registration.