نتایج جستجو برای: adaptive multimodal optimization

تعداد نتایج: 533391  

Journal: :Transactions of the Society of Instrument and Control Engineers 1972

Journal: :Algorithmica 2022

Recent theoretical research has shown that self-adjusting and self-adaptive mechanisms can provably outperform static settings in evolutionary algorithms for binary search spaces. However, the vast majority of these studies focuses on unimodal functions which do not require algorithm to flip several bits simultaneously make progress. In fact, existing are designed detect local optima have any o...

2011
Juan J. Flores Rodrigo López Julio Barrera

Evolutionary computation is inspired by nature in order to formulate metaheuristics capable to optimize several kinds of problems. A family of algorithms has emerged based on this idea; e.g. genetic algorithms, evolutionary strategies, particle swarm optimization (PSO), ant colony optimization (ACO), etc. In this paper we show a populationbased metaheuristic inspired on the gravitational forces...

2009
Marcel Kronfeld Andreas Dräger Moritz Aschoff Andreas Zell

The calibration of complex models of biological systems requires numerical simulation and optimization procedures to infer undetermined parameters and fit measured data. The optimization step typically employs heuristic global optimization algorithms, but due to measurement noise and the many degrees of freedom, it is not guaranteed that the identified single optimum is also the most meaningful...

Journal: :JSW 2013
Dingcai Shen Yuanxiang Li

Many real practical applications are often needed to find more than one optimum solution. Existing Evolutionary Algorithm (EAs) are originally designed to search the unique global value of the objective function. The present work proposed an improved niching based scheme named spatially neighbors best search technique combine with crowding-based differential evolution (SnbDE) for multimodal opt...

Journal: :Appl. Soft Comput. 2010
Min-Rong Chen Xia Li Xi Zhang Yong-Zai Lu

Particle swarm optimization (PSO) has received increasing interest from the optimization community due to its simplicity in implementation and its inexpensive computational overhead. However, PSO has premature convergence, especially in complex multimodal functions. Extremal Optimization (EO) is a recently developed local-search heuristic method and has been successfully applied to a wide varie...

2009
Marcel Kronfeld Andreas Dräger Moritz Aschoff Andreas Zell

The calibration of complex models of biological systems requires numerical simulation and optimization procedures to infer undetermined parameters and fit measured data. The optimization step typically employs heuristic global optimization algorithms, but due to measurement noise and the many degrees of freedom, it is not guaranteed that the identified single optimum is also the most meaningful...

2006
Edward C. Kaiser

Predicting the end of user input turns in a multimodal system can be complex. User interactions vary across a spectrum from single, unimodal inputs to multimodal combinations delivered either simultaneously or sequentially. Early multimodal systems used a fixed duration temporal threshold to determine how long to wait for the next input before processing and integration. Several recent studies ...

2006
Edward C. Kaiser Paulo Barthelmess

Predicting the end of user input turns in a multimodal system can be complex. User interactions vary across a spectrum from single, unimodal inputs to multimodal combinations delivered either simultaneously or sequentially. Early multimodal systems used a fixed duration temporal threshold to determine how long to wait for the next input before processing and integration. Several recent studies ...

20042005200620072008200920102011201220132014201520162017201820192020202120222023010000200003000040000

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید