Keyword: artificial intelligence

Found 336 papers in total
Supply chain cooperation in industrial districts: a simulation analysis
Supply chain cooperation in industrial districts: a simulation analysis
2007,
In the past few years the literature on supply chain management has widely emphasized...
A revenue management system which can learn by itself
A revenue management system which can learn by itself
2007,
Most traditional revenue management systems do not directly learn from past mistakes...
Enhancing case-based reasoning for personnel rostering with selected tabu search concepts
Enhancing case-based reasoning for personnel rostering with selected tabu search concepts
2007,
In this paper, we investigate the advantages of using case-based reasoning (CBR) to...
Clustering rules: a comparison of partitioning and hierarchical clustering algorithms
Clustering rules: a comparison of partitioning and hierarchical clustering algorithms
2006,
Previous research has resulted in a number of different algorithms for rule discovery....
Rapid modeling and discovery of priority dispatching rules: an autonomous learning approach
Rapid modeling and discovery of priority dispatching rules: an autonomous learning approach
2006,
Priority-dispatching rules have been studied for many decades, and they form the...
Case-based heuristic selection for timetabling problems
Case-based heuristic selection for timetabling problems
2006,
This paper presents a case-based heuristic selection approach for automated university...
Applications for affine invariant descriptor and affine parameter estimation based on two-source ICA
Applications for affine invariant descriptor and affine parameter estimation based on two-source ICA
2006,
This paper proposes a new scheme based on two-source independent component analysis...
Rough sets bankruptcy prediction models versus auditor signalling rates
Rough sets bankruptcy prediction models versus auditor signalling rates
2003,
Both international and US auditing standards require auditors to evaluate the risk of...
Modified differential evolution: a greedy random strategy for genetic recombination
Modified differential evolution: a greedy random strategy for genetic recombination
2005,
Over the past three decades Evolutionary Algorithms have emerged as a powerful...
Composing and constructing value focused influence diagrams: a specification for decision model formulation
Composing and constructing value focused influence diagrams: a specification for decision model formulation
2003,
Over the past three decades, significant improvements in the computer and...
A new placement heuristic for the orthogonal stock-cutting problem
A new placement heuristic for the orthogonal stock-cutting problem
2004,
This paper presents a new best-fit heuristic for the two-dimensional rectangular...
A hypermedia intelligent tutoring system for operations research teaching
A hypermedia intelligent tutoring system for operations research teaching
2004,
Since ancient times, models have become widely accepted for studying phenomena, but...
Intelligent Techniques in E-Commerce
Intelligent Techniques in E-Commerce
2006,
A misclassification cost-minimizing evolutionary–neural classification approach
A misclassification cost-minimizing evolutionary–neural classification approach
2006,
Machine learning algorithms that incorporate misclassification costs have recently...
AI and OR in management of operations: history and trends
AI and OR in management of operations: history and trends
2007,
The last decade has seen a considerable growth in the use of Artificial Intelligence...
Heuristics for a bidding problem
Heuristics for a bidding problem
2006,
In this paper, we study a bidding problem which can be modeled as a set packing...
Oblique multicategory decision trees using nonlinear programming
Oblique multicategory decision trees using nonlinear programming
2005,
Induction of decision trees is a popular and effective method for solving...
A tandem clustering process for multimodal datasets
A tandem clustering process for multimodal datasets
2006,
Clustering multimodal datasets can be problematic when a conventional algorithm such...
Non-greedy heuristics and augmented neural networks for the open-shop scheduling problem
Non-greedy heuristics and augmented neural networks for the open-shop scheduling problem
2005,
In this paper we propose some non-greedy heuristics and develop an...
Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
2005,
The performance of most operations systems is significantly affected by the...
On the inference of semi-coherent structures from data
On the inference of semi-coherent structures from data
2005,
In this paper, we consider an unknown semi-coherent structure function. Our main focus...
Solving the combinatorial double auction problem
Solving the combinatorial double auction problem
2005,
This paper studies the solution of several types of combinatorial (double) auctions....
A filter bank for rotationally invariant image recognition
A filter bank for rotationally invariant image recognition
2005,
We present new rotation moment invariants based on multiresolution filter bank...
Genetic programming for the prediction of insolvency in non-life insurance companies
Genetic programming for the prediction of insolvency in non-life insurance companies
2005,
Prediction of non-life insurance companies insolvency has arisen as an important...
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