Differential Evolution in Agent-Based Computing

Abstract This paper combines evolutionary game theory and Agent-based modelling for finding out the optimal location and size of multiple solar PVs in an unbalanced distribution system. The use of Agent-based modelling in solar PV placement is new and hence provides a valuable contribution. NashDE algorithm is implemented and simulated using an agent-based modelling framework MESA. In MA-NashDE, the optimization variables, i.e., the power system buses, are clustered into several zones using both the Loss Sensitivity Index and the Voltage Sensitivity Index. Each zone is under the control of a Nash/zonal player, and the strategy adopted by the zonal player will evolve through Multi-Agent Differential Evolution (MADE) algorithm. This is a novel study focusing on the PV placement problem by Agent-based Evolutionary Game Theory. The proposed methodology was tested using IEEE 34 and IEEE 123 bus radial distribution network using the OpenDSS-Python COM interface.

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A Multi Agent-Based Approach for Supply Chain Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.136.82 ◽

2010 ◽

Vol 136 ◽

pp. 82-85

Author(s):

Rui Wang

Keyword(s):

Supply Chain ◽

Differential Evolution ◽

Supply Chain Network ◽

Team Members ◽

Agent Based ◽

Proposed Model ◽

Collaborative Negotiation ◽

Multi Agent ◽

Adaptive Development ◽

System Paradigm

This paper applies the multi-agent system paradigm to collaborative negotiation in supply chain network. Multi-agent computational environments are suitable for dealing with a class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving agents. An evolution teamwork system based on multi-agents that can organize most team members in supply chain network was proposed. The proposed model performs adaptive development relying on differential evolution process. The experimental results show that our developing teamwork system is able to provide the adaptability of team differential evolution is global optimization and continuously develop teamwork members for the resources management in supply chain network.

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Total etch dentin bonding systems: scanning electron microscopy of the resin-dentin hybrid layer

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130092 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1092-1093

Author(s):

Jorge Perdigao

Keyword(s):

Composite Resin ◽

Mechanical Interlocking ◽

Hybrid Layer ◽

Agent Based ◽

Dentin Bonding ◽

Acid Agent ◽

Bond Strengths ◽

Main Component ◽

Bonding Systems ◽

New Generation

In 1955, Buonocore introduced the etching of enamel with phosphoric acid. Bonding to enamel was created by mechanical interlocking of resin tags with enamel prisms. Enamel is an inert tissue whose main component is hydroxyapatite (98% by weight). Conversely, dentin is a wet living tissue crossed by tubules containing cellular extensions of the dental pulp. Dentin consists of 18% of organic material, primarily collagen. Several generations of dentin bonding systems (DBS) have been studied in the last 20 years. The dentin bond strengths associated with these DBS have been constantly lower than the enamel bond strengths. Recently, a new generation of DBS has been described. They are applied in three steps: an acid agent on enamel and dentin (total etch technique), two mixed primers and a bonding agent based on a methacrylate resin. They are supposed to bond composite resin to wet dentin through dentin organic component, forming a peculiar blended structure that is part tooth and part resin: the hybrid layer.

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