Two-stage eagle strategy with differential evolution
نویسندگان
چکیده
منابع مشابه
Differential Evolution with Improved Mutation Strategy
Differential evolution is a powerful evolution algorithm for optimization of real valued and multimodal functions. To accelerate its convergence rate and enhance its performance, this paper introduces a top-p-best trigonometric mutation strategy and a self-adaptation method for controlling the crossover rate ( CR ). The performance of the proposed algorithm is investigated on a comprehensive se...
متن کاملA Novel Differential Evolution with Co-evolution Strategy
Differential evolution, termed DE, is a novel and rapidly developed evolution computation in recent years. There are some advantages of DE, including simple structure, easy use and rapid convergence speed. Besides, DE can be also applied on the complex optimization problem. However, there are some issues, such as premature convergence and stagnation, remaining in DE algorithm. To overcome those...
متن کاملThe eagle is landing: Eagle syndrome--an important differential diagnosis.
British Journal of General Practice, September 2012 501 CASE REPORT A 35-year-old woman presented in the accident and emergency department with a 2-day history of right-sided Horner’s syndrome. She had been seeing her GP over the last few months with right-sided neck pain, often brought on by chewing, and occasional tinnitus and dizziness, for which no cause had been found. Physical examination...
متن کاملComparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution
Differential Evolution is a popular powerful optimization algorithm for continuous problems. Part of its efficiency comes from the availability of several mutation strategies that can (and must) be chosen in a problem-dependent way. However, such flexibility also makes DE difficult to be automatically used in a new context. F-AUC-Bandit is a comparison-based Adaptive Operator Selection method t...
متن کاملA Self-Adaptive Differential Evolution Algorithm with Dimension Perturb Strategy
Differential Evolution (DE) has been proven to be an efficient and robust algorithm for many real optimization problems. However, it still may converge toward local optimum solutions, need to manually adjust the parameters, and finding the best values for the control parameters is a consuming task. In this paper that proposed a dimension perturb strategy and self-adaptive F value in original DE...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Bio-Inspired Computation
سال: 2012
ISSN: 1758-0366,1758-0374
DOI: 10.1504/ijbic.2012.044932