Fate and transport modelling of urban highway contaminants by a multi-objective evolutionary method

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.

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

The Open Electrical & Electronic Engineering Journal ◽

10.2174/1874129001408010213 ◽

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.

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An Evolutionary Method to Achieve the Maximum Efficiency Tracking with Multi-Objective Optimization Based on the Genetic Algorithm

2019 IEEE Applied Power Electronics Conference and Exposition (APEC) ◽

10.1109/apec.2019.8722185 ◽

2019 ◽

Author(s):

Qinsong Qian ◽

Qi Liu ◽

Shen Xu ◽

Weifeng Sun ◽

Haisong Li

Keyword(s):

Genetic Algorithm ◽

Maximum Efficiency ◽

Multi Objective Optimization ◽

Multi Objective ◽

Evolutionary Method

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Importance of DOC in sediments for contaminant transport modelling

Water Science & Technology ◽

10.2166/wst.1998.0467 ◽

1998 ◽

Vol 38 (11) ◽

pp. 193-199

Author(s):

Byung-Gi Hwang ◽

Kwan-Soo Jun ◽

Young-Dae Lee ◽

Wu-Seng Lung

Keyword(s):

Contaminant Transport ◽

Transport Model ◽

Fate And Transport ◽

Modeling Framework ◽

Transport Modelling ◽

Phase Partitioning ◽

Three Phase ◽

New Bedford Harbor ◽

Interstitial Waters ◽

Diffusive Exchange

Contaminants in the interstitial waters are not only dissolved but also associated with a filterable colloidal phase such as DOC. The DOC plays an important role regulating the distribution of chemicals between particulate and dissolved phases since it binds chemicals and makes them unavailable for vertical diffusive exchange. A three-phase partitioning model that consists of free-dissolved, DOC-bound, particulate-bound components of the chemicals involved is used for the contaminant transport model in order to include the effect of DOC on the partition coefficient. The contaminant model is linked to WASP modeling framework to predict remobilization of PCBs in sediments and the fate and transport of the contaminant in overlying waters of the New Bedford Harbor where the harbor has been contaminated with PCBs and heavy metals released from electronic capacitor manufacturers. Simulation of remedial controls indicates that if no action is taken, PCB concentrations will continue to be at elevated levels. Several scenarios for the removal of contaminated sediments have been performed to reduce the elevated PCB concentrations to background levels.

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