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multiple local minima

Wall following to escape local minima for swarms of agents using internal states and emergent behaviour

Wall following to escape local minima for swarms of agents using internal states and emergent behaviour

... a local minimum and the method allows a swarm of agents to escape from and to manoeuvre around a local minimum in the potential field to reach a ...with multiple local minima, which ...

8

Global optimization in communication networks

Global optimization in communication networks

... There are two kinds of problems which are very difficult and time consuming for traditional optimization methods: one is the continuous problems having multiple local minima ( without lo[r] ...

9

Wall Following to Escape Local Minima for Swarms of Agents Using Internal States and Emergent Behaviour Mohamed H. Mabrouk and Colin R. McInnes

Wall Following to Escape Local Minima for Swarms of Agents Using Internal States and Emergent Behaviour Mohamed H. Mabrouk and Colin R. McInnes

... a local minimum and the method allows a swarm of agents to escape from and to manoeuvre around a local minimum in the potential field to reach a ...with multiple local minima, which ...

8

An emergent wall following behaviour to escape local minima for swarms of agents

An emergent wall following behaviour to escape local minima for swarms of agents

... the local minima problem by using the agent’s internal states along with the emergent behaviour of the ...the local minimum ...a local minimum and the method allows a swarm of agents to escape ...

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A wavelet-based ECG delineation algorithm for 32-bit integer online processing

A wavelet-based ECG delineation algorithm for 32-bit integer online processing

... of interest. In [13] RMS is computed over N = 2 16 samples excerpts, for the first three scales (2 1 , 2 2 , 2 3 ). In [16] RMS is emulated over N = 2 9 samples excerpts for the first four scales. RMS is computationally ...

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Horizon Detection in Seismic Data: An Application of Linked Feature Detection from Multiple Time Series

Horizon Detection in Seismic Data: An Application of Linked Feature Detection from Multiple Time Series

... with multiple time-series data recorded at high frequency, such as environmental science, geophysics, financial trading, and internet ...across multiple time ...

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Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA

Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA

... any local-minimum based rank- r factorization X c X c > approximates M or M r requires no assumptions imposed on M regarding its rank, eigenvalues and ...

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Rapid sampling of local minima in protein energy surface and effective reduction through a multi-objective filter

Rapid sampling of local minima in protein energy surface and effective reduction through a multi-objective filter

... sample local minima in the energy ...of local minima ...Lennard-Jones minima of small atomic clusters ...Iterated Local Search ...by local search and is popular for ...

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Reporting Score Distributions Makes a Difference: Performance Study of LSTM networks for Sequence Tagging

Reporting Score Distributions Makes a Difference: Performance Study of LSTM networks for Sequence Tagging

... value, making these systems perceived ei- ther as state-of-the-art or mediocre. Instead of publishing and reporting single perfor- mance scores, we propose to compare score distributions based on multiple ...

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Use of an implicit filtering algorithm for mechanical system parameter identification

Use of an implicit filtering algorithm for mechanical system parameter identification

... included to exclude the data for which the valve is out of range of the sensor. It can also be used to weight other data points to increase/decrease correlation with a particular portion of the data. The experimental ...

8

Automatic Detection of Airways in CT Scans of Cystic Fibrosis Patients

Automatic Detection of Airways in CT Scans of Cystic Fibrosis Patients

... of local minima (airways) were replaced with an intensity value proportional to the difference between the maximum and minimum intensity values within the B-sized neighborhood of the airway lumen ...

7

Evolutionary-inspired probabilistic search for enhancing sampling of local minima in the protein energy surface

Evolutionary-inspired probabilistic search for enhancing sampling of local minima in the protein energy surface

... We note that, in PLOW, the length of the greedy search is not determined a priori and can vary. In FeLTr, instead, the inner MMC trajectory that obtains a new conformations from a selected conformation in the FeLTr tree ...

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A Path Planning Method Based on Artificial Potential Field Improved by Potential Flow Theory

A Path Planning Method Based on Artificial Potential Field Improved by Potential Flow Theory

... Abstract. The ability of the avoidance to movable obstacle is inefficient in robot path planning using traditional artificial potential field. An improved potential field model based on potential flow theory is proposed ...

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Boundary mapping and its application to geographic routing

Boundary mapping and its application to geographic routing

... between local knowledge and global ...around local minima (which occurs when the basic geographic forwarding strategy fails at a node where there are no neighbours closer to the ...

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TIMES OF MINIMA OF SOME ECLIPSING BINARY STARS WITH ECCENTRIC MINIMA IN THE KEPLER FIELD II.

TIMES OF MINIMA OF SOME ECLIPSING BINARY STARS WITH ECCENTRIC MINIMA IN THE KEPLER FIELD II.

... This paper is a continuation of the work published in IBVS 6219 (Bulut, 2017). In this study, we present 1086 minima times of 6 eclipsing binaries with eccentric orbit. The eclipse-timing variation O–C curves of ...

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Development of PSO for tracking Maximum Power Point of Photovoltaic Systems

Development of PSO for tracking Maximum Power Point of Photovoltaic Systems

... The PPSO makes the velocity vector of each particle be disturbed once it reaches to a local peak. In other words, the velocity of each particle should be reset if there is no the best search solution of population ...

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Lmrdbcp   Underwater Routing Local Minima State Using Robotics Diversion with Disorder Detection and Back Force Connectivity Discovered By Probability Assessment

Lmrdbcp Underwater Routing Local Minima State Using Robotics Diversion with Disorder Detection and Back Force Connectivity Discovered By Probability Assessment

... routing local minima state using robotics diversion with disorder detection and back-force connectivity discovered by probability assessment (LMRDBCP) calculates the order of repetition based on highest ...

7

Implementation of USG Ovarian Cancer Image Segmentation using Genetic Algorithm

Implementation of USG Ovarian Cancer Image Segmentation using Genetic Algorithm

... . GA adjusts crossover and mutation probability to get optimized solution. Experimental result shows that segmentation of ovarian image by GA is more accurate than OSTU thresholding[6] Applications of genetic algorithm ...

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Optimization Scheme Based on Differential Equation Model for Animal Swarming

Optimization Scheme Based on Differential Equation Model for Animal Swarming

... swarm is easily trapped in a neighborhood of points giv- ing local minima; on the contrary, if too large, then they cannot keep on swarming and they result in searching the optimal point individually. If  ...

7

ON A CONSISTENT QUANTUM ADIABATIC THEORY OF MOLECULES

ON A CONSISTENT QUANTUM ADIABATIC THEORY OF MOLECULES

... the local minima in the effective potential U(Q) for the molecule nuclei-system stems from the first principles, without calling for any phenomenology whatso- ...

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