Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called hybrid flower pollination algorithm (FPPSO) is proposed. The method combines the standard flower pollination algorithm (FP) with the par...

in this paper, the gain in ld-celp speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (pso) algorithms to optimize the structure and parameters of neural networks. elman, multi-layer perceptron (mlp) and fuzzy artmap are the candidate neural models. the optimized number of nodes in the first and second hidden layers of el...

Reasonable optimal operation policy for complex multiple reservoir systems is very important the safe and efficient utilization of water resources. The hydropower reservoirs should be optimized to maximize total generation, while ensuring flood control safety by effective storage release reservoirs. To achieve this goal, a new meta-heuristic algorithm, salp swarm algorithm (SSA), used optimize ...

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 ...

Numerous real life problems represents hard optimization problems that cannot be solved by deterministic algorithm. In the past decades various different methods were proposed for these kind of problems and one of the methods are nature inspired algorithms especially swarm intelligence algorithms. Elephant herding optimization algorithm (EHO) is one of the recent swarm intelligence algorithm th...

his paper presents the review on image edge detection by using particle swarm optimization and gravitational search algorithm. The paper present the various works done by particle swarm optimization and gravitational search algorithm in the field of digital image processing. By observing the previous works the two optimization algorithms particle swarm optimization algorithm and gravitational s...

Heart <span>diseases have a severe impact on human life and health. Cardiovascular deaths diseases increased at fast rate worldwide. The early prediction of these is necessary to prevent deaths. Now day; considerable amount medical information available collected as databases. An efficient technique required analyse this data predict the disease. Clustering can help practitioners in diagn...