The shape optimization of developable surfaces is a key and difficult technology in CAD/CAM. This paper studies the generalized Bézier-like using improved salp swarm algorithm. First, aiming at problems slow convergence speed low calculation accuracy, quickly falling into optimal local solution for algorithm, by adjusting control parameters, added Morlet wavelet mutation strategy to individual ...

Firefly Algorithm (FA) is a powerful swarm intelligence algorithm i spired by the flash phenomenon of the fireflies. However, it has weaknesses on optimizing high-dimensional problems. This paper presents an improved FA named Adaptive Firefly Algorithm (AFA). In the new algorithm, three strategies are proposed to improve its adaptability and overcome its weaknesses. The algorithm is tested on a...

In recent decades, with the introduction of optimization problems, new methods of was optimizing developed. The most important group of optimization techniques is meta-heuristic method. That is able to solve the problems of combination optimizing. The major problems in the combination optimizing such as Dynamic Travelling Salesman Problem (DTSP) is a kind of problems that is close answer to the...

Motion estimation plays a key role in H.264/AVC video coding, but it is the most time-consuming task in the encoding process. In order to reduce the computational complexity of motion estimation in H.264/AVC video coding, this paper proposes a new search algorithm based on artificial fish-swarm algorithm (AFSA) which is a new efficient optimizing method. Firstly, some characteristics of AFSA ar...

Reduction of sidelobe level in concentric ring arrays results in wide first null beamwidth (FNBW). Theauthors propose a pattern synthesis method based on modified Particle Swarm Optimization (PSO) algorithm and Differential Evolution (DE) algorithm to reduce sidelobe level while keeping the first null beamwidth (FNBW) fixed or variable. This is achieved by optimizing both ring spacing and numbe...

Social behaviour is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuáis to get optimal solutions. Such co-operative model differs from competitive models in the way that individuáis die and are born by combining information of alive ones. This paper presents the particle swarm optimization with differential evolution algorit...

Image Steganography is the computing field of hiding information from a source into a target image in a way that it becomes almost imperceptible from one’s eyes. Despite the high capacity of hiding information, the usual Least Significant Bit (LSB) techniques could be easily discovered. In order to hide information in more significant bits, the target image should be optimized. In this paper, i...

An Artificial Neural Network (ANN) is an abstract representation of the biological nervous system which has the ability to solve many complex problems. The interesting attributes it exhibits makes an ANN capable of ―learning‖. ANN learning is achieved by training the neural network using a training algorithm. Aside from choosing a training algorithm to train ANNs, the ANN structure can also be ...