Because of computational drawbacks of conventional numerical methods in solving complex optimization problems, researchers may have to rely on meta-heuristic algorithms. Particle swarm optimization (PSO) is one of the most widely used algorithms due to its simplicity of implementation and fast convergence speed. Also, the cuckoo search algorithm is a recently developed meta-heuristic optimizati...

In this paper presents the hybrid algorithm using firefly and a cuckoo search algorithm for flexible open shop scheduling problem. The flexible, open shop scheduling is known to be NP-hard. Cuckoo algorithm (CA) is one of the widely used techniques for constrained optimization. And it gave the best results compared to other algorithms. A disadvantage of cuckoo algorithm though is that they easi...

In order to improve convergence velocity and optimization accuracy of the cuckoo search (CS) algorithm for solving the function optimization problems, a new improved cuckoo search algorithm based on the repeat-cycle asymptotic self-learning and self-evolving disturbance (RC-SSCS) is proposed. A disturbance operation is added into the algorithm by constructing a disturbance factor to make a more...

Economic Dispatch (ED) serves as an important mechanism, advantageous for controlling and operating. The core function of ED lies in the scheduling generation system, currently operating or running each generating unit to minimize need load. research system this study was conducted by implementing Modified Cuckoo Optimization Algorithm (MCOA) method, then compared with (COA) method. considered ...

This paper proposes an extension to approach proposed in [13] for image enhancement using a combination of fuzzy logic technique and bio-inspired optimization algorithm. The transformation of the image data from RGB to HSV space has been done without altering HUE information. The image has been categorized into three regions with well tuned membership functions: underexposed, overexposed and mi...

-------------------------------------------------------ABSTRACT--------------------------------------------------To Study about the Face Hallucination technique and to create high-resolution face images. After that Apply Artificial intelligence based cuckoo search technique to get high hallucination parameters. Cuckoo work on the colored image and performing face hallucination. PSNR, EPI, MOS, ...

This paper presents an object-oriented software system that implements a cuckoo search (CS) metaheuristic for unconstrained optimization problems. Yang and Deb developed cuckoo search algorithm in MATLAB and tested it on some standard benchmark functions as well as on some engineering optimization problems where it showed promising results. We developed our algorithm in JAVA programming languag...

The World Wide Web serves as a huge widely distributed global information service center. The tremendous amount of information on the web is improving day by day. So, the process of finding the relevant information on the web is a major challenge in Information Retrieval. This leads the need for the development of new techniques for helping users to effectively navigate, summarize and organize ...