Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Learning from examples: a review of machine learning, neural networks and fuzzy logic paradigms
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Neural network fundamentals with graphs, algorithms, and applications
Neural network fundamentals with graphs, algorithms, and applications
Zadeh's extension principle in design reliability
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
A fuzzy knowledge base to support routine engineering design
Fuzzy Sets and Systems
Use of approximation concepts in fuzzy design problems
Advances in Engineering Software
Design neural networks based fuzzy logic
Fuzzy Sets and Systems
Soft computing in case based reasoning
Soft computing in case based reasoning
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Case-Based Reasoning in Design
Case-Based Reasoning in Design
Learning to Adapt for Case-Based Design
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Is Neural Network a Reliable Forecaster on Earth? A MARS Query!
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Agent-based support within an interactive evolutionary design system
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Improving problem definition through interactive evolutionary computation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Design of combinational logic circuits through an evolutionary multiobjective optimization approach
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Neuro-fuzzy comprehensive assemblability and assembly sequence evaluation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Creative stimulator: An interface to enhance creativity in pattern design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Design synthesis knowledge and inductive machine learning
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Case-based evolutionary design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Optimal design of flywheels using an injection island genetic algorithm
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Evolutionary optimization within an intelligent hybrid system for design integration
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Ensemble modelling or selecting the best model: Many could be better than one
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Learning to be selective in genetic-algorithm-based design optimization
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Adaptive-growth-type 3D representation for configuration design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Dimensions of machine learning in design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Machine learning for simulation-based support of early collaborative design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Genetic learning for combinational logic design
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Multi-objective optimization of structures topology by genetic algorithms
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Artificial Intelligence Review
Constructing design methodologies using multiagent systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Methods of case adaptation: A survey: Research Articles
International Journal of Intelligent Systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Iterative genetic algorithm for learning efficient fuzzy rule set
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Fusion of soft computing and hard computing for large-scale plants: a general model
Applied Soft Computing
Evolutionary design in a multi-agent design environment
Applied Soft Computing
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
A two-stage fuzzy approach to feature-based design retrieval
Computers in Industry
A hybrid systematic design for multiobjective market problems: a case study in crude oil markets
Engineering Applications of Artificial Intelligence
Introspective learning to build case-based reasoning (CBR) knowledge containers
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
SOFT-CBR: a self-optimizing fuzzy tool for case-based reasoning
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Applying an evolutionary algorithm to telecommunication networkdesign
IEEE Transactions on Evolutionary Computation
Fuzzy neural network modeling for product development
Mathematical and Computer Modelling: An International Journal
Fuzzy Representation and Synthesis of Concepts in Engineering Design
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Integration of Computational Intelligence Applications in Engineering Design
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
IT-based approach for effective management of project changes: A change management system (CMS)
Advanced Engineering Informatics
Advanced Engineering Informatics
Understanding design activities through computer simulation
Advanced Engineering Informatics
Advanced Engineering Informatics
Management and forecast of dynamic customer needs: An artificial immune and neural system approach
Advanced Engineering Informatics
A new strategy for automotive off-board diagnosis based on a meta-heuristic engine
Engineering Applications of Artificial Intelligence
Advanced Engineering Informatics
Evaluation of new service concepts using rough set theory and group analytic hierarchy process
Expert Systems with Applications: An International Journal
Linking objective and subjective modeling in engineering design through arc-elastic dominance
Expert Systems with Applications: An International Journal
Soft approaches to information access on the Web: An introduction to the special issue
Information Processing and Management: an International Journal
Arc-elasticity and hierarchical exploration of the neighborhood of solutions in mechanical design
Advanced Engineering Informatics
Hi-index | 0.00 |
The present paper surveys the application of soft computing (SC) techniques in engineering design. Within this context, fuzzy logic (FL), genetic algorithms (GA) and artificial neural networks (ANN), as well as their fusion are reviewed in order to examine the capability of soft computing methods and techniques to effectively address various hard-to-solve design tasks and issues. Both these tasks and issues are studied in the first part of the paper accompanied by references to some results extracted from a survey performed for in some industrial enterprises. The second part of the paper makes an extensive review of the literature regarding the application of soft computing (SC) techniques in engineering design. Although this review cannot be collectively exhaustive, it may be considered as a valuable guide for researchers who are interested in the domain of engineering design and wish to explore the opportunities offered by fuzzy logic, artificial neural networks and genetic algorithms for further improvement of both the design outcome and the design process itself. An arithmetic method is used in order to evaluate the review results, to locate the research areas where SC has already given considerable results and to reveal new research opportunities.