Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system

Zhang, Haipeng; Gen, Mitsuo

doi:10.1145/1143997.1144293

Cited by 30 publications

(15 citation statements)

References 15 publications

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“…As a result, a single optimization problem should be solved. Often this problem is addressed as main (or general) advanced planning and scheduling problem (APSP) (Moon et al, 2004;Moon and Seo, 2005;Zhang and Gen, 2006;Chen and Ji, 2007;Lee et al, 2002).…”

Section: The Concept Of Apsmentioning

confidence: 99%

“…In multi-plant manufacturing system, it is necessary to consider also the outsourcing (Lee et al, 2002), i.e. situations when "the same order can also be delivered to some other plant for assigning to the resources in different locations" (Zhang and Gen, 2006). In other words, we have some sequential and parallel machining processes structure that can be represented by an AND/OR directed graph (Homem de Mello and Sanderson, 1990).…”

Section: An Ensemble Of Collaborating Algorithmsmentioning

confidence: 99%

See 1 more Smart Citation

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

Lupeikienė¹,

Dzemyda²,

Kiss³

et al. 2014

Informatica

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The paper summarizes the results of research on the modeling and implementation of advanced planning and scheduling (APS) systems done in recent twenty years. It discusses the concept of APS system-how it is thought of today-and highlights the modeling and implementation challenges with which the developers of such systems should cope. Some from these challenges were identified as a result of the study of scientific literature, others-through an in-depth analysis of the experience gained during the development of real-world APS system-a Production Efficiency Navigator (PEN system). The paper contributes to APS systems theory by proposing the concept of an ensemble of collaborating algorithms.

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Section: The Concept Of Apsmentioning

confidence: 99%

Section: An Ensemble Of Collaborating Algorithmsmentioning

confidence: 99%

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

Lupeikienė¹,

Dzemyda²,

Kiss³

et al. 2014

Informatica

View full text Add to dashboard Cite

show abstract

“…Bionic evolution will repeat the above step 3 to step 6 for certain times until the final individual string or string group satisfy the requirement function. And bionic evolution will get the optimized objects with best degree of approximation [7][8][9][10][11][12][13][14].…”

Section: Bionic Optimization and Its Application In E-mentioning

confidence: 99%

Elliptic Curves Cryptosystem Based Electronic Cash Scheme with Parameter Optimization

Zhou

2009

2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

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Proper selection of secret parameters is essential to the security and feasibility of e-cash (electronic cash) scheme. In the paper, we presented an improved e-cash scheme with parameter optimization based on ECC (Elliptic Curves Cryptosystem). In the scheme, the secret parameters are generated with bionic optimization algorithm by a successive adaptive optimizing process. With the optimized secret parameters, the dishonest users and the outer adversaries can not attack e-cash with polynomial algorithms, so the scheme effectively prevents generalized ecash forgery and coalition attack. And the optimizing algorithm can be executed in advance without any influence to the efficiency of e-cash scheme. Besides, the algorithms of the scheme make full use of the superiority of ECC, such as high efficiency, short key length and etc. The optimization designing strategy of the scheme not only reinforces the security and feasibility of e-cash but also greatly improves the efficiency of e-cash for software and hardware application.

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“…k * ∈ l Z is the private key of message receiver, K kP = is the corresponding public key. ψ is a function that makes the conversion from ( ) q E F to finite field l Z * [14][15][16][17][18][19].…”

Section: B Basic Algorithms On Elliptic Curves Public Key Cryptosystemmentioning

confidence: 99%

Bionic Optimized Key Management Scheme Based on Elliptic Curves Cryptosystem

Zhou

2009

2009 Second International Conference on Future Information Technology and Management Engineering

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Key management is an essential part in designing secure and reliable cryptography scheme. In the paper, we analyzed the basic interacting protocols for key management on RSA asymmetric cryptosystem and presented an improved authenticated encryption scheme based on ECC (Elliptic Curves Cryptosystem). In the scheme, the essential parameters for key generating and distribution are transmitted with authenticated algorithms, the generation and distribution of master key is connected with the identity information of key distributing center and valid users. The attack on the authenticated cipher-text and the secret parameters via public information is equivalent to ECDLP (Elliptic Curves Discrete Logarithm Problem), which is computationally infeasible without polynomial algorithms. The utilization of random encryption in key generating renders effective protection for the secrecy of private keys and the identity information of key applicants. Compared with traditional schemes, key management with optimization has much superiority in security and efficiency for hardware and software application.

show abstract

Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system

Cited by 30 publications

References 15 publications

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

Elliptic Curves Cryptosystem Based Electronic Cash Scheme with Parameter Optimization

Bionic Optimized Key Management Scheme Based on Elliptic Curves Cryptosystem

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