Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
An overview of agent-oriented programming
Software agents
PACT: an experiment in integrating concurrent engineering systems
Readings in agents
Readings in agents
Supporting learning in a shared design environment
Advances in Engineering Software
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Data Structures, Algorithms, and Software Principles
Data Structures, Algorithms, and Software Principles
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Issues in Multiagent Design Systems
IEEE Expert: Intelligent Systems and Their Applications
Toward flexible and fault tolerant intelligent manufacturing: Sensible agents in shop-floor control
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Supporting creative design in a visual evolutionary computing environment
Advances in Engineering Software
Search and Reasoning in problem solving
Artificial Intelligence
Coalition formation mechanism in multi-agent systems based on genetic algorithms
Applied Soft Computing
Structured synthesis of MEMS using evolutionary approaches
Applied Soft Computing
Soft computing in engineering design - A review
Advanced Engineering Informatics
A model for cooperative design based on multi-agent system
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Research on computer-aided creative design platform based on creativity model
Expert Systems with Applications: An International Journal
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Supporting the design process with hypergraph genetic operators
Advanced Engineering Informatics
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This paper presents a novel evolutionary design approach in a multi-agent design environment. Multi-agent system architecture offers a promising framework for dynamically managing cooperative agents in a distributed environment while the tree structure based generic algorithm provides a foundation for supporting evolutionary and innovative design abilities. Design is a complex knowledge discovery process. Creative design is a human trait that is not easily converted into a computational tool. Rather than to implement the innovative design by computers, this environment is used to stimulate the imagination of designers and extend their thinking space. It wants to explore a feasible and useful evolutionary approach in a distributed environment that will give the designers concrete help for the creative designs. This approach is illustrated by a mobile phone design example, which used binary algebraic expression tree to form sketch shapes and a feature based product tree to produce component combination choices. Because evolution is guided by human selectors, the evolutionary algorithm is not complex. It shows that approach is able to generate some creative solutions, demonstrating the power of explorative evolution.