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Article
A hybrid system for imbalanced data mining
In the era of information explosion, the production and collection of data is growing massively. Data mining is the process of finding valuable information in data. For imbalanced data, the majority classes ha...
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Article
A parallel intelligent algorithm applied to predict students drop** out of university
A student drop** out of university means that he/she quits the university early. Increasingly more students are drop** out of university, the reasons for which vary. It is an important issue for universiti...
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Chapter and Conference Paper
A Study on Social Support, Participation Motivation and Learning Satisfaction of Senior Learners
This study focuses on the status and differences between senior learners’ social support, participation motivation and learning satisfaction, and explores their relevance using the structural equation model. T...
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Article
An Intelligent Algorithm Based on Bacteria Foraging Optimization and Robust Fuzzy Algorithm to Analyze Asthma Data
Asthma has become the serious chronic and the most common disease of hospitalization in children. Recently, the number of children with asthma has increased year by year. Thereafter, the medical community pay...
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Article
Open AccessAODV with intelligent priority flow scheme for multi-hop ad hoc networks
A mobile ad hoc network is formed by a cluster of mobile stations randomly located within a certain area without the infrastructure of base stations. There have been many researches proposing different models ...
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Article
Open AccessA novel algorithm applied to filter spam e-mails for iPhone
An iPhone is like a portable computer in arithmetic logic capability, memory capacity, and multi-media capability. Many malware targeting iPhone has already emerged and then the situation is getting worse. Acc...
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Article
Makespan minimization for scheduling unrelated parallel machines with setup times
This study considers the problem of scheduling jobs on unrelated parallel machines with machine-dependent and job sequence-dependent setup times. In this study, a restricted simulated annealing (RSA) algorithm...
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Article
Metaheuristics for scheduling a no-wait flowshop manufacturing cell with sequence-dependent family setups
This paper examines the no-wait flowshop manufacturing cell scheduling problem (FMCSP) with sequence-dependent family setup times. To the best of our knowledge, the present study is among the first to investig...
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Article
Meta-heuristic algorithms for wafer sorting scheduling problems
Wafer sorting is usually regarded as the most critical stage in the whole wafer probing process. This paper discusses the wafer sorting scheduling problem (WSSP) with total setup time minimization as the prima...
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Article
Applying PSO-based BPN for predicting the yield rate of DRAM modules produced using defective ICs
Dynamic random access memory (DRAM) modules are an important component of electronic equipment, impacting the quality, performance, and price of the final product. A typical DRAM module is composed of DRAM int...
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Article
Scheduling jobs on dynamic parallel machines with sequence-dependent setup times
Dynamic parallel machine scheduling problems (DPMSPs) with sequence-dependent setup times represent a very important production scheduling problem but remain under-represented in the research literature. In th...
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Article
An enhanced ant colony optimization (EACO) applied to capacitated vehicle routing problem
In this paper, an enhanced ant colony optimization (EACO) is proposed for capacitated vehicle routing problem. The capacitated vehicle routing problem is to service customers with known demands by a homogeneou...
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Article
Hybrid-directional planning: improving improvement heuristics for scheduling resource-constrained projects
The resource-constrained project scheduling problem (RCPSP) has been of a continuing interest and challenge for researchers and practitioners since its advent. The formidable computational requirements of the ...
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Chapter
Incorporating Hopfield Neural Networks into Ant Colony System for Traveling Salesman Problem
In this paper, the approach of incorporating Hopfield neural networks (HNN) into ant colony systems (ACS) is proposed and studied. In the proposed approach (HNNACS), HNN is used to find a plausibly good soluti...
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Article
A robust learning algorithm based on support vector regression and robust fuzzy cerebellar model articulation controller
For real-world applications, the obtained data are always subject to noise or outliers. The learning mechanism of cerebellar model articulation controller (CMAC), a neurological model, is to imitate the cereb...
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Chapter
A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date
The problem of scheduling jobs on a single machine with a common due date is one of NP-complete problems. It is to minimize the total earliness and tardiness penalties. This chapter introduces a Dynamical Ant ...
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Chapter and Conference Paper
An Intelligent Algorithm for Scheduling Jobs on a Single Machine with a Common Due Date
In this paper, an intelligent algorithm for scheduling jobs on a single machine with a common due date is introduced. This problem of scheduling jobs on a single machine, known as NP-complete problem, is again...
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Article
A Heuristic Genetic Algorithm for Solving Resource Allocation Problems
In the paper, a heuristic genetic algorithm for solving resource allocation problems is proposed. The resource allocation problems are to allocate resources to activities so that the fitness becomes as optimal...
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Chapter and Conference Paper
A Hybrid Search Algorithm of Ant Colony Optimization and Genetic Algorithm Applied to Weapon-Target Assignment Problems
Weapon-Target Assignment (WTA) problems are to find a proper assignment of weapons to targets with the objective of minimizing the expected damage of own-force asset. In this paper, a novel hybrid algorithm of...
