Adaptive Learning of Process Control and Profit Optimization Using a Classifier System

Gilbert, A. H.; Bell, Frances; Valenzuela, Christine L.

doi:10.1162/evco.1995.3.2.177

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…The language/tool used in the development and the type of computer operating environment of each genetic algorithm application are presented in Table 2. An examination of this information reveals that the most used languages are C and Pascal, and only a few tools are used in the develop- [71] Linear and cyclic assignment [63] Load stacking [28] Machine component grouping [92] Machine layout problem [27] Maintenance scheduling [51] Multichip module partitioning [66] Multiple-burner furnace combustion optimization [27] Obstacle location allocation [34] Pattern-recognition systems generation [87] Periodic railway synchronization [67] Pole-cart balancing [69] Press tool design optimization [46] Process control and profit optimization [32] Process…”

Section: Resultsmentioning

confidence: 99%

A Bibliography of Genetic Algorithm Business Application Research: 1988–June 1996

Wong

Bodnovich

1998

Expert Systems

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The purpose of this research is to present a comprehensive bibliography of genetic algorithm application research in business. Ninety-seven genetic algorithm papers (98 applications) are identified through the exhaustive literature searches. A classification of these articles by application area reveals that genetic algorithms are being used for a diverse range of corporate functional activities, particularly in the areas of production/operations and information systems. Information on the genetic algorithm development tool/language and the computer operating environment as reported in each article is included. Those journals which have published the most genetic algorithm business applications are also presented.

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Section: Resultsmentioning

confidence: 99%

A Bibliography of Genetic Algorithm Business Application Research: 1988–June 1996

Wong

Bodnovich

1998

Expert Systems

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“…A rule is active during an episode if it wins a bidding competition. Whereas bucket brigade is better adapted to rules firing in parallel, profit-sharing is more adapted for single active chains [40].…”

Section: Methodsmentioning

confidence: 99%

Activity-Based Credit Assignment Heuristic for Simulation-Based Stochastic Search in a Hierarchical Model Base of Systems

Muzy

Zeigler

2017

IEEE Systems Journal

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Synthesis of systems constitutes a vast class of problems. Although machine learning techniques operate at the functional level, little attention has been paid to system synthesis using a hierarchical model-base. This paper develops an original approach for automatically rating component systems and composing them according to the experimental frames in which they are placed. Components are assigned credit by correlating measures of their participation (activity) in simulation runs with run outcomes. These ratings are employed to bias component selection in subsequent compositions.

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“…4.20 The newly-generated child generation gets the expected value f of its parents according to the following equations (Gilbert et al 1995…”

Section: 18mentioning

confidence: 99%

Group-Level Exploration and Exploitation: A Computer Simulation-Based Analysis

Kunz¹

2011

JASSS

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Organisational research has studied the tension between exploration and exploitation for years. In essence, this body of research agrees on the necessity of a balance between explorative and exploitative processes to prevent an organisation from falling into a learning trap. Thus, to enhance the active management of this balance in organisations, a deeper theoretical understanding of the factors that influence the development of exploration and exploitation has to be gained. One of the recently discussed factors is the interplay between exploration and exploitation on different organisational levels. This paper picks up this discussion. It provides an in-depth, computer simulation-based analysis of the performance of organisational types with varying degrees of within-group and between-group exploration and exploitation in situations of different degrees of task complexity. The findings indicate that a high share of betweengroup processes as compared to within-group processes positively influences the organisational performance level and that dependent on task complexity the optimal share of exploration and exploitation varies.

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Adaptive Learning of Process Control and Profit Optimization Using a Classifier System

Cited by 11 publications

References 9 publications

A Bibliography of Genetic Algorithm Business Application Research: 1988–June 1996

A Bibliography of Genetic Algorithm Business Application Research: 1988–June 1996

Activity-Based Credit Assignment Heuristic for Simulation-Based Stochastic Search in a Hierarchical Model Base of Systems

Group-Level Exploration and Exploitation: A Computer Simulation-Based Analysis

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