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Article
Control the Diversity of Population with Mutation Strategy and Fuzzy Inference System for Differential Evolution Algorithm
This paper displays how to use fuzzy inference system (FIS) to control the individual uniform diversity for differential evolution algorithm (DE). DE solves nonlinear optimization problems, and a successful co...
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Article
EMD-Based Preprocessing with a Fuzzy Inference System and a Fuzzy Neural Network to Identify Kiln Coating Collapse for Predicting Refractory Failure in the Cement Process
A coating collapse occurs when large parts of coating break away from the refractory of a rotary kiln in a cement plant. If the collapse is more conspicuous, the cooler may become filled with excessive materia...
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Article
Fuzzy Scaled Mutation Evolutionary Computation
This paper proposes a novel evolutionary computation (EC) algorithm, fuzzy scaled mutation evolutionary computation (FSMEC), for solving nonlinear numerical optimization problems. Although EC has been typicall...
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Chapter and Conference Paper
A Novel Defragmemtable Memory Allocating Schema for MMU-Less Embedded System
A new approach of memory allocating that allowed to perform memory defragment without the help of the memory management unit (MMU) is proposed in this paper. With the proposed allocating schema, memory allocat...
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Chapter and Conference Paper
A Multiplier-Free Noise Trapped Touch Algorithm for Low Cost 4x4 Matrix Panel Design
A low cost 4x4 matrix touch panel which based on a multiplier-free noise trapped touch algorithm is discussed in this paper. We focus on the method that filters out the noise without long delay to make a fast ...
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Chapter and Conference Paper
A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural Network
The blind signal separation problem (BSS) which involved linear mixing model and stationary source signals is focused in this paper. In the past, the neural network (NN) model is the popular architecture for s...
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Chapter and Conference Paper
Placement Constraints and Macrocell Overlap Removal Using Particle Swarm Optimization
This paper presents a macrocell placement constraints and overlap removal methodology using particle swarm optimization (PSO). The authors adopted several techniques along with PSO as to avoid the floorplannin...
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Chapter and Conference Paper
The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population
We set out here, in an effort to extend the capacities of recent neurobiological evidence and theories, to propose a computational framework, which gradually accumulates and focuses transited energy as a distr...
