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New Codification Schemas for Scheduling with Genetic Algorithms

2005
Codification is a very important issue when a Genetic Algorithm is designed to dealing with a combinatorial problem. In this paper we introduce new codification schemas for the Job Shop Scheduling problem which are extensions of two schemas of common use, and are worked out from the concept of underlying probabilistic model.
David Serrano   +2 more
openaire   +1 more source

A modified genetic algorithm based on the best schema and its application for function optimization

open access: closedProceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2002
The genetic algorithm (GA) is a wildly employed evolutional algorithm in the field of combinatorial optimization. Criticism of this approach includes slow speed and premature result during the convergence procedure. Through introducing new crossover and mutation operators based on the best scheme, the paper proposes a more efficient method to improve ...
Zi Gang, Peng Chu-wu, Zou Mingzhu
openalex   +3 more sources

BSP‐GA: A new Genetic Algorithm for System Optimization and Excellent Schema Selection

Systems Research and Behavioral Science, 2014
The significance of Internet‐of‐Things to Supply Chain Management has been dramatically increasing. The performance of supply chain based on Internet‐of‐Things is largely dependent on its optimization. Genetic algorithms (GAs) are important intelligent methods for complex system optimization problems, but they have some internal drawbacks such as ...
Marzana Wilamowska-Korsak   +5 more
openaire   +2 more sources

Genetic algorithm with modified reproduction strategy based on self-organizing map and usable schema

International Congress Series, 2006
Abstract In this paper, we propose a new updating method considering usability of each element of inputs and apply it to the reproduction of the GA to achieve more effective search than the traditional reproduction. In the proposed updating method, the order of updating elements is decided by averaging the corresponding elements multiplied by fitness
Ryosuke Kubota   +2 more
openaire   +2 more sources

An exact schema theorem for adaptive genetic algorithm and its application to machine cell formation

Expert Systems with Applications, 2011
This paper proposes an exact schema theorem that is able to predict the expected number of copies of schemas in the next GA generation. It focuses on two-point crossover, which is widely used in many GA applications. As two important GA control parameters, crossover probability (p"c) and mutation probability (p"m) affect the performance of GAs ...
Xiao Feng Yin, Li Pheng Khoo
openaire   +2 more sources

Evolving Mobile Prototypes towards the Best-Suited Design and Interaction Schema Using the Genetic Algorithm

International Journal of Mobile Human Computer Interaction, 2014
The recent advances in the mobile environment, such as multi-touch gestures paradigm, introduce new challenges for the interaction designers in producing the best-suited final prototype. Moreover, the short delivery-time pressure of the current mobile market makes it harder to perform the detailed evaluations for selecting the best prototype amongst ...
Ragaad AlTarawneh, Shah Rukh Humayoun
openaire   +2 more sources

Learning a dynamic policy by using policy gradient: application to biped walking

Systems and Computers in Japan, 2007
AbstractThis paper discusses a method in which periodic motion, such as biped walking, is acquired by the framework of reinforced learning. For an object with multiple degrees of freedom, it is in general difficult to acquire the policy by reinforced learning. There must be a framework of learning which is matched to the motion task under consideration.
Toru Nakanishi   +5 more
openaire   +8 more sources

A Novel Hybrid Particle Swarm Optimization Algorithm Combined with Harmony Search for High Dimensional Optimization Problems

The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007), 2007
Multimedia technology, integrated with IT and communication technologies, provides wide range of services in diversified fields. These technologies are most frequently adopted in medical image processing sector, especially in medical image diagnosis. Presently, various researchers are actively conducting researches on the automation of reader system by
Euiin Choi   +3 more
openaire   +13 more sources

A Heuristic Genetic Algorithm Based on Schema Replacement for 0-1 Knapsack Problem

2010 Fourth International Conference on Genetic and Evolutionary Computing, 2010
This paper investigates the 0-1 knapsack problem using genetic algorithms. The work is based on heuristic strategies that takes into account the characteristics of 0-1 knapsack problem. In this article, a heuristic Genetic Algorithms(GA) is proposed to solve the 0-1 knapsack problem, in each generation, populations are divided into two sections ...
openaire   +2 more sources

Background on Genetic Algorithms

The Art and Science of Machine Intelligence, 2019
W. Land, J. Schaffer
semanticscholar   +1 more source

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