scholarly journals A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 87647-87664
Author(s):  
Sujoy Chatterjee ◽  
Sunghoon Lim
Keyword(s):  
Judgment Analysis ◽  
Multi Objective ◽  
Evolutionary Method

Concept-Based Interactive Brainstorming in Engineering Design

2004 ◽  
Vol 8 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Gideon Avigad ◽  
◽  
Amiram Moshaiov ◽  
Neima Brauner
Keyword(s):  
Engineering Design ◽  
Human Machine Interface ◽  
Computer Assisted ◽  
Design Problems ◽  
Multi Objective ◽  
Evolutionary Method ◽  
Machine Interface ◽  
Team Design ◽  
The Way

In this paper we present a concept-based evolutionary method, which strengthens symbiosis between computers and humans in exploring engineering solutions to multi-objective design problems. The use of concepts improves the human-machine interface. Moreover, it serves not only as a communication means but also enables evaluating concepts rather then just specific solutions while taking into account teammates’ perceptions and preferences. A scenario-based example is given to demonstrate the way our concept-based method can be used for computer-assisted iterative team design.

scholarly journals Multi-objective Human-computer Co-operative Co-evolutionary Method Based on Non-dominated Sorting Strategy

2014 ◽  
Vol 8 (1) ◽  
pp. 213-217
Author(s):  
Huo Junzhou ◽  
Chen Jing ◽  
Zhou Jianjun ◽  
Wu Hanyang
Keyword(s):  
Numerical Simulation ◽  
Layout Problem ◽  
Pareto Solution ◽  
Trade Off ◽  
Multi Objective ◽  
Evolutionary Method ◽  
Complex Engineering ◽  
Cooperative Solutions ◽  
Simulation Results ◽  
The Individual

Based on the human-computer cooperation ideas, a Human-Computer Multi-Objective Cooperative Co-Evolutionary Method (HCMCCM) is developed to solve the complex engineering layout problem, in which the multiobjective optimization idea is integrated to avoid the "flooding" phenomenon that occurs during the combination of the artificial solutions and the algorithm solutions. In the proposed HCMCCM, the artificial solutions expressed by unified encoding strings are incorporated together with the algorithms solutions to create new cooperative solutions based on the non-dominated sorting strategies. This kind of cooperation can make the artificial solutions and the algorithm solutions on an equal basis and integrate the artificial individual with the individual algorithms into a multi-objective trade-off. The numerical simulation results of the satellite layout problem show that the proposed method can combine the artificial solutions and the algorithm solutions effectively and provide a Pareto solution set for engineers to choose from.

Multi-objective Optimal Thermal Heat Sink Design Using Evolutionary Method

2015 ◽  
Vol 72 (2) ◽  
Author(s):  
Mohd Zainolarifin Mohd Hanafi ◽  
Fatimah Sham Ismail
Keyword(s):  
Heat Sink ◽  
Multi Objective ◽  
Evolutionary Method ◽  
Heat Sink Design
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