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The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial ...
Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...
Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...
Process operation optimization: Real-time optimization seeks to determine set points for the controllers to maximize efficiency, conservation, and throughput, while minimizing expenses, waste, ...
Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...
As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable ...
Wastewater treatment is energy-intensive, with aeration and pumping among the largest cost drivers. The review details how AI ...
Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...
One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide ...
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