PROJECT LM-01 Presentation 16 Oct 2006 University of Wollongong, Australia

Agenda 1. Project Team 2. Project Requirements 3. Proposal 4. Project Management 5. Project Product 6. Project Demo 7. Q&A Session University of Wollongong, Australia

Project Team KHO PUAY MENG KOH MENG HONG NG CHIOU YOONG YIP CHEW HONG University of Wollongong, Australia

Project Requirements Project Title: “ NEST (or HIVE: A simulator of life in and around an ant (bee) nest (hive). (Group of 3 to 4 Students) “ ~ Quoted University of Wollongong, Australia

Project Requirements OBJECTIVE: “ The group should choose a colony creature; probably either an ant or a bee, and model the nest or hive life. This should include aspects such as building, foraging and patrolling, where such behaviours are typical. Specific species habits, such as bee swarming should also be modelled. Interactions with their physical environment will need to be considered too, including such things as the effect of rain and other weather. There will need to be a fair amount of research into behaviour patterns of the chosen creature. There are many different species of ants, and allowing flexibility for behaviours differing between species would be useful, and shouldn’t be too difficult. The expectation is to provide a graphical simulation, although some useful textual reports should also be provided by the software. “ ~ Quoted University of Wollongong, Australia

Proposal Study Subject: Colony Creature: Honey Bee Literature Review & Research on Honeybee University of Wollongong, Australia

Proposal Solution: Model Honeybee population growth in dynamic data Provide Graphical Simulation on Bee behaviors such as: Building Scouting Foraging Patrolling Swarming Attack behaviors

Project Management Bee Hive Simulator University of Wollongong, Australia

Project Management Schedule Methodology Tools Documentation Delivery University of Wollongong, Australia

Schedule Total duration: <5 months Dates: 21 Jun ~ 16 Oct 2006 University of Wollongong, Australia

Methodology Dynamic System Development Method (DSDM) Define as a framework for an iterative and incremental approach to the development of Information Systems. Timeboxing Schedule for Reviews University of Wollongong, Australia

DSDM Why use DSDM to manage Team? Active User Involvement Development is iterative, driven by user feedback All changes are reversible Testing throughout life cycle

DSDM Timeboxing format “MoSCoW” classification Example: University of Wollongong, Australia

Tools Communication Media: Teleconference using Skype, Netmeeting Chat online with MSN, Yahoo, GoogleTalk WebMail on Hotmail, Gmail, Yahoo Mail Feedback via Project Forum Update status via Project Website University of Wollongong, Australia

Documentation Type of documents Versioning Format Revision Procedure University of Wollongong, Australia

Documentation Type of Documents include: Initial Submission: Project Proposal (CR) Project Schedule (CR) Fortnightly Submission: Project Diary (CR) Final Submission: Final Report Technical Report (CR) Test Report (CR) User Manual (CR) University of Wollongong, Australia

Documentation Versioning Format Example: University of Wollongong, Australia

Documentation Change Management Control Procedure Initial Version Edit Document Document Update? Version X change University of Wollongong, Australia

Delivery Documentation Product (Software Application) MPEG Video Installation CD Source Code User Manual* University of Wollongong, Australia

Project Product Bee Hive Simulator University of Wollongong, Australia

Project Product Product Overview Genetic Algorithm (GA) Defintion Implementation Applications University of Wollongong, Australia

Product Overview Product Name: Bee Hive Simulator Period complete: 4mths Version: Purpose: This software is a simulator on Honeybees’ network life cycle. This simulator will include aspects, such as building, scouting, foraging and patrolling. It may also include Honeybees' behavior and habits, such as bee swarming, and how honeybees interact with their physical environment, e.g. the effect of pesticides. The goal is to provide a graphical simulation, with some useful textual reports which it will be help to illustrate honeybee life cycle. University of Wollongong, Australia

Product Overview Main Features: Graphical Simulation Genetic Algorithms Technique (GA) Generate Report

Product Overview Target Audience Researchers Students Bee Farmers University of Wollongong, Australia

Genetic Algorithm What is Genetic Algorithm? In short, it is called GA A search technique used in computer science to find approximate solutions to optimization and search problems. University of Wollongong, Australia

Genetic Algorithm How is GA implemented? Problem Modeling Using Chromosomes and Genes to represent Food Source Selecting Best Food Source Combination Base on Highest Fitness Value E.g Food Index : 3Water Index : 1 Chromosome A

Genetic Algorithm Fitness Function Assign and evaluate chromosome fitness value Based on defined constraints Food Quality (Sugar Lvl > 30%) Food Availability (Nectar & Pollen Quantity) Food Range Obstacles

Genetic Algorithm GA Operators Include: Mutation Crossover

Genetic Algorithm Mutation Food Index : 1Water Index : 1 Food Index : 1Water Index : 3 Chromosome A Before Mutation After Mutation

Genetic Algorithm Crossover Food Index : 1Water Index : 3 Parent A Before Crossover Food Index : 2Water Index : 4 Parent B After Crossover Food Index : 1Water Index : 4 Offspring A Food Index : 2Water Index : 3 Offspring B

Genetic Algorithm

Project Demo Bee Hive Simulator University of Wollongong, Australia

Q & A Feel free to ask us… University of Wollongong, Australia

End Of Presentation THANK YOU! University of Wollongong, Australia

Applications Foraging Understand routing behaviors in the network using GA By changing the constraints used in the fitness function, we can obtain the best routing routes to a certain specified destination Constraints to be consider:- Routing Distance Router’s Capacity Bandwidth of Network File Size

Future Enhancement Dynamic Selection Of Best Food Source Simulating Bees Behavior Under Extreme Weather Condition (Below 8 Degrees Celsius) Graphical Statistic Report (E.g Lines Graph or Bar Chart) And more…

MoSCoW MoSCoW stands for: M - MUST have this. S - SHOULD have this if at all possible. C - COULD have this if it does not affect anything else. W - WON'T have this time but WOULD like in the future.