Impact of Starting Position and Searching Mechanism on the Evolutionary Algorithm Convergence Rate-Reference-Cited by-同舟云学术

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Impact of Starting Position and Searching Mechanism on the Evolutionary Algorithm Convergence Rate

Published:2016-09 Issue:9 Volume:142 Page:04016026
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Bi Weiwei¹,Maier Holger R.²,Dandy Graeme C.²

Affiliation:

1. Ph.D. Student, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author).

2. Professor, School of Civil, Environmental, and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000655

Reference30 articles.

1. Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration

2. Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty

3. Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge

4. Use of domain knowledge to increase the convergence rate of evolutionary algorithms for optimizing the cost and resilience of water distribution systems;Bi W.;J. Water Resour. Plann. Manage.,2016

5. An efficient constraint handling method for genetic algorithms

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