Brain Storm Optimization Algorithm
نویسنده
چکیده
Human being is the most intelligent animal in this world. Intuitively, optimization algorithm inspired by human being creative problem solving process should be superior to the optimization algorithms inspired by collective behavior of insects like ants, bee, etc. In this paper, we introduce a novel brain storm optimization algorithm, which was inspired by the human brainstorming process. Two benchmark functions were tested to validate the effectiveness and usefulness of the proposed algorithm.
منابع مشابه
A Modified Multi-Objective Optimization Based on Brain Storm Optimization Algorithm
In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving multi-objective optimization problems. In this paper, the authors propose a new multi-objective brain storm optimization algorithm in which the clustering strategy is applied in the objective space instead of in the solution space in the original brain storm optimization algorithm for s...
متن کاملImproving Brain Storm Optimization Algorithm via Simplex Search
Through modeling human’s brainstorming process, the brain storm optimization (BSO) algorithm has become a promising population based evolution algorithm. However, BSO is often good at global exploration but not good enough at local exploitation, just like most global optimization algorithms. In this paper, the Nelder-Mead’s Simplex (NMS) method is adopted in a simple version of BSO. Our goal is...
متن کاملPopulation Diversity Maintenance in Brain Storm Optimization Algorithm
The convergence and divergence are two common phenomena in swarm intelligence. To obtain good search results, the algorithm should have a balance on convergence and divergence. The premature convergence happens partially due to the solutions getting clustered together, and not diverging again. The brain storm optimization (BSO), which is a young and promising algorithm in swarm intelligence, is...
متن کاملAn Improved Storm Cell Identification and Tracking (SCIT) Algorithm based on DBSCAN Clustering and JPDA Tracking Methods
Accurate storm cell identification and tracking is both a vital and challenging endeavor in severe weather operations. Correct identification and tracking of storms is a significant component of studying any type of meteorological phenomena, including lightning. A high accuracy method of identifying, differentiating, and tracking storm cells is proposed. The results of the proposed Storm Cell a...
متن کاملSimplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system
a r t i c l e i n f o a b s t r a c t The design of automatic carrier landing system is a crucial technique for carrier-based aircraft, since it facilitates landing of aircraft on carriers in various severe weather conditions, such as low visibility, heavy wind and rough sea conditions, which can hardly be achieved by manual control. In this paper, a novel method of optimizing the control param...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011