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Article
Relating product specifications and performance data with a neural network model for design improvement
This paper presents research resulting in a neural network model relating product design specifications and performance testing results using data from a sanitary ware manufacturer. The main constraint of the ...
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Chapter
An expert system with an external optimization module for quality control decisions
Artificial intelligence includes several fields of scientific research including natural language processing, artificial neural networks and expert systems. All are concerned with replicating and sometimes imp...
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Article
Reducing waste in casting with a predictive neural model
This paper describes an interactive neural network model that predicts the quality of cast ceramic products using multiple quantitative and qualitative inputs. This has been done to enable a major sanitary war...
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Chapter and Conference Paper
Integrated facility design using an evolutionary approach with a subordinate network algorithm
The facility design problem is a common one in manufacturing and service industries and has been studied extensively in the literature. However, restrictions on the scope of the design problem have been impose...
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Article
Achieving Stretch Goals: Best Practices in Manufacturing for the New Millennium
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Article
Economic design of reliable networks
This paper describes a general approach to the optimal design of communications networks when considering both economics and reliability. The approach uses a genetic algorithm to identify the best topology of ...
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Chapter
A Hierarchical Genetic Algorithm for System Identification and Curve Fitting with a Supercomputer Implementation
This paper describes a hierarchical genetic algorithm (GA) framework for identifying closed form functions for multi-variate data sets. The hierarchy begins with an upper GA that searches for appropriate funct...
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Chapter and Conference Paper
Evolutionary Design of Facilities Considering Production Uncertainty
This paper considers the design of facilities while explicitly incorporating production uncertainty in the form of product quantity expected values and standard deviations. Block layout designs can be optimize...
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Article
Prediction and optimization of a ceramic casting process using a hierarchical hybrid system of neural networks and fuzzy logic
This paper is a case study that describes a hybrid system integrating fuzzy logic, neural networks and algorithmic optimization for use in the ceramics industry. A prediction module estimates two quality metri...
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Article
Integrated facilities design using a contour distance metric
The unequal area facility design problem has been studied in the literature generally by considering block layout separate from detailed design. This paper shows a tractable method for concurrently optimizing ...
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Chapter and Conference Paper
Neural Computing Approach to Shape Change Estimation in Hot Isostatic Pressing
A neural network approach is presented for the estimation of shape change during a Hot Isostatic Pressing (HIP) process of nickel-based superalloys for near net-shape manufacture. For the HIP process, shrinkag...
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Chapter
Design of Production Facilities Using Evolutionary Computing
This chapter discusses the use of genetic algorithms for the design of industrial facilities. Block design of the location of departments or work centers is integrated with the detailed design of aisle structu...
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Article
A Seeded Memetic Algorithm for Large Unit Commitment Problems
The paper shows that the use of a memetic algorithm (MA), a genetic algorithm (GA) combined with local search, synergistically combined with Lagrangian relaxation is effective and efficient for solving large u...
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Article
Estimation of shrinkage for near net-shape using a neural network approach
A neural network approach is presented for the estimation of shrinkage during a hot isostatic pressing (HIP) process of nickel-based superalloys for near net-shape manufacture. For the HIP process, the change ...
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Article
Optimal Design of Reliable Computer Networks: A Comparison of Metaheuristics
In many computer communications network design problems, such as those faced by hospitals, universities, research centers, and water distribution systems, the topology is fixed because of geographical and phys...
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Chapter
Network Reliability Optimization
This chapter presents design of reliable networks. The exact calculation of any general network reliability measure is NP-hard. Therefore, network designers have been reluctant to use reliability as a design c...
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Chapter
The Ant Colony Paradigm for Reliable Systems Design
This chapter introduces a relatively new meta-heuristic for combinatorial optimization, the ant colony. The ant colony algorithm is a multiple solution global optimizer that iterates to find optimal or near op...
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Chapter
Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems
This chapter uses an ant colony meta-heuristic to optimally load balance code divisionmultiple access micro-cellular mobile communication systems. Load balancing is achieved by assigning each micro-cell to a s...
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Chapter and Conference Paper
Two-Edge Disjoint Survivable Network Design Problem with Relays
In this paper, we study the network design problem with relays considering network survivability. This problem arises in telecommunications and logistic systems. The design problem involves selecting two edge-...
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Chapter
Improving Network Connectivity in Ad Hoc Networks Using Particle Swarm Optimization and Agents
In a mobile ad hoc network (MANET) the nodes can serve as both routers and hosts and can forward packets on behalf of other nodes in the network. This functionality allows the MANET to form an instant, autonom...
