A Swarm Intelligence Method Applied to Manufacturing Scheduling Davide Anghinolfi‚ Antonio Boccalatte‚ Alberto Grosso‚ Massimo Paolucci‚ Andrea Passadore‚ Christian Vecchiola‚ DIST – Department of Communications Computer and System Sciences‚ University of Genova STWTSDS problem. Regarding the latter point‚ note that the approach in [4] seems to be the only previous DPSO application to the single machine total weighted tardiness (STWT) problem. The rest of the paper is organized as follows. Section
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Springer Series in Operations Research Editors: Peter W. Glynn Stephen M. Robinson Michael L. Pinedo Planning and Scheduling in Manufacturing and Services Includes CD-ROM Michael L. Pinedo Department of Operations Management Stern School of Business New York University 40 West 4th Street‚ Suite 700 New York‚ NY 10012-1118 USA mpinedo@stern.nyu.edu Series Editors: Peter W. Glynn Department of Management Science and Engineering Terman Engineering Center Stanford University
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Caney Creek Coal Mine‚ a mine that had been plagued by strikes in the 1970s.[4] At the center of their method were three heuristics for analyzing conflicts and designing new systems‚ which could deal with these conflicts quickly and efficiently‚ before they escalated into the frequent strikes‚ and lockouts that had been occurring at this mine almost routinely. The first heuristic involves the relationship between three ways of resolving disputes: by negotiating interests‚ by adjudicating rights‚
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|What is memory? |The persistence of learning over time through the storage and retrieval | | |of information. | |How many steps to the basic memory process are there? What are they? |3; encoding‚storage‚ retrieval | |What is encoding?
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Retrieved from http://www.cisco.com/en/US/products/ps6120/index.html Cisco Systems. (2013). Cisco Web Security Appliance. Retrieved from http://www.cisco.com/en/US/prod/collateral/vpndevc/ps10142/ps10164/aag_c45-716641.pdf Kaspersky Lab. (2013). Heuristic analysis in Kaspersky Anti-Virus 2013. Retrieved from http://support.kaspersky.com/us/8641 Lord‚ N. (2012). Common malware types: Cybersecurity 101. Retrieved from http://www.veracode.com/blog/2012/10/common-malware-types-cybersecurity-101/ Skillport
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properties to its components‚ hydrogen and oxygen. We organise and remember the arrangement of objects using a set of heuristics‚ and these help us to understand and survive in a constantly evolving world. Firstly‚ the key aspects of Gestalt theory will be outlined‚ and then the strengths and criticisms of the model will be discussed with regards to relevant studies. One of the heuristics the Gestalt theory proposes is that we group elements together based on proximity‚ meaning that objects that are
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experimentally by taking some test cases. By these parameter values in different UCTP problem instances‚ MMAS algorithm converges more rapidly with minimum no of soft violations and generates the timetable. In the experiment‚ the most influence factor is the heuristic information (β) and the other influence factors are pheromone evaporation rate (ρ)‚ pheromone weight (α) and no of ants (A) and no of iterations (I). Figure 5.1: Parameters used in the different size of UCTP Parameter Small Medium Large Pheromone
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Potential sources of bias in heuristics Misplaced loyalty Obedience to authority and susceptibility to peer pressure. The desire to fit into an organization‚ to be a team player‚ to get along with co-employees‚ people are more likely to undertake unethical actions in the workplace and elsewhere if peers are engaging in similar behaviour. Overoptimism and overconfidence People tend to rate themselves as well above average in most traits‚ including honesty. Businesspeople tend to believe that
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References: 1. http://www.rblewis.net/technology/PSY306/gestaltpsy.html: Retrieved on April 13‚ 2013. http://web.sau.edu/WaterStreetMaryA/kohler.htm: Retrieved on April 13‚ 2013. 2. http://mrwhatis.com/heuristic-approach-to-problem-solving.html: Retrieved on April 12‚ 2013. 3. http://fundamentalsofdesign.weebly.com/laws-of-perceptual-organization.html: Retrieved on April 10‚ 2013. Goldstien‚ Bruce. (2002) Sensation and Perception.pg.147 California: Wadsworth
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References: Abdullah‚ S. (2006). Heuristic approaches for university timetabling problems. PhD Thesis. The School of Computer Science and Information Technology. University of Nottingham. Akkoyunlu‚ E. (1973). A linear algorithm for computing the optimum university timetable. The Computer
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