Journal ArticleDOI
Multiobjective cuckoo search for design optimization
Xin-She Yang,Suash Deb +1 more
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TLDR
A new cuckoo search for multiobjective optimization is formulated and applied to solve structural design problems such as beam design and disc brake design.About:
This article is published in Computers & Operations Research.The article was published on 2013-06-01. It has received 729 citations till now. The article focuses on the topics: Metaheuristic & Cuckoo search.read more
Citations
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Journal ArticleDOI
A Comprehensive Survey on Optimization Techniques in Image Processing
Yasir Aslam,N. Santhi +1 more
TL;DR: This literature review compiles different work presented on optimization and concludes with the most accurate and appropriate method for optimization.
Journal ArticleDOI
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
TL;DR: An enhanced convolutional neural network is developed in this paper for accurate brain image classification and outperforms other models from the literature by providing 97.4% accuracy, 96.0% sensitivity, 98.6% specificity, and 96% F1-score.
Proceedings ArticleDOI
Sizing Of A Hybrid (Photovoltaic/Wind) Pumping Systembased On Metaheuristic Optimization Methods
TL;DR: The research work presented focuses on the development of a methodology for analysis and technical-economic evaluation carried out for a hybrid (PV/wind) system where the results are compared and discussed and four optimization algorithms are proposed namely: BAT Algorithm, Cuckoo Search Al algorithm, FireFIyAlgorithm, and Flower Pollination Algorithm.
Book ChapterDOI
Cuckoo Search Algorithm with Various Walks
TL;DR: This study introduces some new movement procedures including quantum, Brownian and random walks for CS, which adopts Levy flights in the standard form, and demonstrates that the proposed movements induce significant improvements over the standard CS.
Dissertation
An intelligent decision support system for acute lymphoblastic leukaemia detection
TL;DR: An intelligent decision support system for automatic detection of acute lymphoblastic leukaemia (ALL) using microscopic blood smear images to overcome the above barrier and significantly outperforms related meta-heuristic search methods and related research for ALL detection.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Journal ArticleDOI
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
Journal ArticleDOI
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Qingfu Zhang,Hui Li +1 more
TL;DR: Experimental results have demonstrated that MOEA/D with simple decomposition methods outperforms or performs similarly to MOGLS and NSGA-II on multiobjective 0-1 knapsack problems and continuous multiobjectives optimization problems.