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Chapter and Conference Paper
Research on Construction Method of IoT Knowledge System Based on Knowledge Graph
This research aims to deconstruct and reconstruct professional knowledge in the field of the Internet of Things (IoT), and extract and organize it into a hierarchical tree network structure based on knowledge ...
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Chapter and Conference Paper
A Novel Strategy to Control Population Diversity and Convergence for Genetic Algorithm
Genetic algorithm (GA), an efficient evolutionary algorithm inspired from the science of genetics, attracts the worldwide attention for several decades. This paper tries to strengthen the search ability of the...
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Chapter and Conference Paper
On the Constraint Normalization: An Empirical Study
The form of constraint violation plays an important role when using the constraint handling techniques for solving Constrained Optimization Problems. As the measures for different constraint violation may have...
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Chapter and Conference Paper
Grou** Particle Swarm Optimizer with \(P_{best}\) s Guidance for Large Scale Optimization
As a classic Swarm Intelligence (SI), Particle Swarm Optimization (PSO), inspired by the behavior of birds flocking, draws many attentions due to its significant performance in both numerical experiments and p...
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Chapter and Conference Paper
A Dynamic Penalty Function for Constrained Optimization
Penalty function methods have been widely used for handling constraints, but it’s still a challenge about how to set the penalty parameter effectively though many related methods have been proposed. In this pa...
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Chapter and Conference Paper
Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration
Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the powe...
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Chapter and Conference Paper
Data-Based State Forecast via Multivariate Grey RBF Neural Network Model
This paper presents a multivariable grey neural network (MGM-NN) model for predicting the state of industrial equipments. It combines the merit of MGM model and RBF-NN model on time series forecast. This mode ...
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Chapter and Conference Paper
Centralized Charging Strategies of Plug-in Electric Vehicles on Spot Pricing Based on a Hybrid PSO
This work proposes an efficient charging regulation strategy based on optimal charging priority and location of plug-in electric vehicles (PEVs). It employs a hybrid particle swarm optimization for optimal cha...
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Chapter and Conference Paper
Solving Power Economic Dispatch Problem Subject to DG Uncertainty via Bare-Bones PSO
Distributed generation (DG) is becoming increasingly important in power system. However the of DG will lead risks in power system due to its failure or uncontrollable power outputs which is usually relied on r...
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Chapter and Conference Paper
A Hybrid PSO-DE Algorithm for Smart Home Energy Management
Home energy management system is an important part in smart home, smart home is assumed to be equipped with smart meter which smart control of generators, storages, and demand response programs. In this paper,...
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Chapter and Conference Paper
Differential Annealing for Global Optimization
This paper propose a hybrid stochastic approach called differential annealing algorithm. The algorithm integrated the advantages of differential evolution and simulated annealing. It can be considered as a swa...
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Chapter and Conference Paper
Liver Segmentation in CT Images for Intervention Using a Graph-Cut Based Model
Liver segmentation in computerized tomography (CT) images has been widely studied in recent years, of which the graph cut models demonstrate a great potential with the advantage of global optima and practical ...
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Chapter and Conference Paper
A NichePSO Algorithm Based Method for Process Window Selection
Process parameter window selection in semiconductor manufacturing field is usually the problem to find out the ranges of input parameters that meet production requirements, which requires allocating optima of ...
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Chapter and Conference Paper
Identification of VSD System Parameters with Particle Swarm Optimization Method
A VSD system, which consists of an inverter & an induction motor, is now widely used in all kinds of application. But from the view point of an end user, neither the motor parameters in the mathematics model n...
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Chapter and Conference Paper
ACO-Based Scheduling of Parallel Batch Processing Machines with Incompatible Job Families to Minimize Total Weighted Tardiness
This research is motivated by the scheduling problem in the diffusion and oxidation areas of semiconductor wafer fabrication facilities (fabs), where the machines are modeled as Parallel Batch Processing Machi...
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Chapter and Conference Paper
Modeling and Real-Time Scheduling of Semiconductor Manufacturing Line Based on Simulation
Due to the difficulties of establishing a model of semiconductor manufacturing line, a real-time scheduling system of semiconductor manufact- uring line is established with discrete event simulation technique....
