نتایج جستجو برای: cuckoo optimization algorithm

تعداد نتایج: 965581  

This paper presents a method for improving steganography and enhancing the security using combinatorial Meta-heuristic algorithms. The goal is to achieve an improved PSNR value in order to preserve the image quality in the steganography process. Steganography algorithms, in order to insert message signal information inside the host data, create small changes based on the message signal in the ...

2014
M. Saravanan

Optimal design of structure has a main role in reduction of material usage which leads to deduction in the final cost of construction projects. Evolutionary approaches are found to be more successful techniques for solving size and shape structural optimization problem since it uses a stochastic random search instead of a gradient search. By reviewing the recent literature works the problem fou...

2017
N. Karthik A. K. Parvathy

This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. ...

Journal: :CoRR 2013
Ahmad Mozaffari Alireza Fathi

Bio inspiration is a branch of artificial simulation science that shows pervasive contributions to variety of engineering fields such as automate pattern recognition, systematic fault detection and applied optimization. In this paper, a new metaheuristic optimizing algorithm that is the simulation of “The Great Salmon Run” (TGSR) is developed. The obtained results imply on the acceptable perfor...

Journal: :International Journal of Intelligent Systems and Applications in Engineering 2017

Journal: :Geomatics 2022

Proper emergency evacuation planning is a key to ensuring the safety and efficiency of resources allocation in disaster events. An efficient plan can save human lives avoid other effects disasters. To develop effective plans, this study proposed multi-objective optimization model that assigns individuals shelters through safe routes during available periods. The main objective minimize total tr...

2014
Narjes Khatoon Naseri

Utilizing QFD in the process of manufacturing and service performing is confronted with an optimization problem called QFD decision-making problem (QFDDMP). Facing many customer constraints and requirements, and huge number of customers in the target market have made QFDDMP a complex planning problem. Achieving optimal solution by which the products satisfy customers with lowest costing budget ...

2014
Nazri Mohd. Nawi Abdullah Khan M. Z. Rehman

RNNs have local feedback loops within the network which allows them to shop earlier accessible patterns. This network can be educated with gradient descent back propagation and optimization technique such as second-order methods; conjugate gradient, quasi-Newton, Levenberg-Marquardt have also been used for networks training [14, 15]. But still this algorithm is not definite to find the global m...

2018
K. Lenin

Received Nov 22, 2017 Revised Jan 20, 2018 Accepted Feb 23, 2018 This paper projects an Integrated Algorithm (IA) for solving optimal reactive power problem. Quick convergence of the Cuckoo Search (CS), the vibrant root change of the Firefly Algorithm (FA), and the incessant position modernization of the Particle Swarm Optimization (PSO) has been combined to form the Integrated Algorithm (IA). ...

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