Results 121 to 130 of about 28,586 (232)

Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Climate change uncertainty challenges water supply planning, where long‐lived infrastructure must ensure reliable supply under evolving conditions. Adaptive planning addresses this by incrementally expanding infrastructure only as needed, reducing unnecessary investments.
Mofan Zhang, Megan Lickley, Marta Zaniolo, Arjun Nellikkattil, Sarah Fletcher   +4 more
wiley   +1 more source

Physics‐AI Synergized Optimization‐Learning‐Simulation Framework for Robust Cascade Reservoir Scheduling Under Future Hydrological Uncertainty

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Coordinated optimization of cascade reservoirs is critical for maximizing a river basin's economic, social, and ecological benefits. However, conventional hydropower scheduling lacks adaptability to complex future scenarios, constrained by seasonal hydrological variability and uncertain inflows.
Zhaoyang Zhu, Haotian Wu, Zhaocai Wang, Xingxing Zhang, Jiachen Kong, Chenye Liu, Zuowen Tan, Qikai Liu   +7 more
wiley   +1 more source

3D print orientation optimization and comparative analysis of NSGA-II versus NSGA-II with Q-learning

International Journal on Smart Sensing and Intelligent Systems
Abstract This study optimizes 3D print orientation to minimize support material, printing time, and surface roughness using non-dominated sorting genetic algorithm II (NSGA-II). Traditional NSGA-II can stagnate due to static parameters; thus, integration with Q-learning dynamically adjusts these parameters based on rewards. Q-learning,
G. Bilowo, B. Hardjono
openaire   +1 more source

Machine Learning Reveals Quantitative Amino Acid Preferences in Bifidobacterium longum Growth

Microbial Biotechnology, Volume 19, Issue 5, May 2026.
Machine‐learning–guided optimization of amino acid composition revealed amino acid preferences in Bifidobacterium longum beyond auxotrophy. Cysteine was essential for growth, whereas under reduced amino acid supply, tyrosine predominantly influenced growth yield, and glutamate, leucine, and valine were key determinants of lag time.
Hiroki Kaneko, Kana Kadowaki, Shin Yoshimoto, Toshitaka Odamaki, Bei ‐ Wen Ying   +4 more
wiley   +1 more source

Multi‐Objective Optimization of a Hydro‐Economic Model in an Over‐Allocated Agricultural Basin

Groundwater, Volume 64, Issue 3, Page 278-294, May/June 2026.
Abstract Groundwater depletion for agricultural irrigation poses significant environmental and economic challenges. This study introduces a proof‐of‐concept that combines hydro‐economic modeling, scenario‐based modeling, and multi‐objective optimization to manage pumping curtailment in an over‐allocated basin in the western United States.
Katherine H. Markovich, Michael N. Fienen, Nicholas Corson‐Dosch, Cecile Coulon, Jeremy T. White, Stephen B. Gingerich   +5 more
wiley   +1 more source

Research on Multi-Objective Low-Carbon Flexible Job Shop Scheduling Based on Improved NSGA-II

Machines
To optimize the production scheduling of a flexible job shop, this paper, based on the NSGA-II algorithm, proposes an adaptive simulated annealing non-dominated sorting genetic algorithm II with enhanced elitism (ASA-NSGA-EE) that establishes a multi ...
Zheyu Mei, Yujun Lu, Liye Lv
doaj   +1 more source

Multi-objective route optimization for electric vehicle hazardous materials transportation in uncertain environments

Scientific Reports
This paper focuses on the application of electric vehicles in the transportation of Category 9 hazardous materials. Given the high requirements for safety and timeliness in hazardous materials transportation, this study first comprehensively considers ...
Qian Zhang, Zejian Zhang, Chao Ma
doaj   +1 more source

Synergistic Evolutionary Optimization with Reinforcement Learning for Multi-Objective Energy-Efficient Hybrid Flow Shop Scheduling

Axioms
The Energy-Efficient Hybrid Flow Shop Scheduling Problem poses a significant multi-objective optimization challenge, necessitating the simultaneous minimization of conflicting objectives: Total Tardiness, Total Energy Cost, and Carbon Trading Cost.
Yuchen Liu, Ting Shu, Xuesong Yin, Jinsong Xia   +3 more
doaj   +1 more source

A COMPARATIVE STUDY OF CANONICAL NSGA-II AND NSGA-IIHHO FOR POWER DISTRIBUTION CONDUCTOR ALLOCATION

Academy Journal of Science and Engineering
The potential of hybridizing Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Harris Hawks Optimization (HHO) algorithm remains largely unexplored, especially for distribution feeder planning problems; thereby leaving a research gap to be filled.
NELSON OMOGBAI
doaj   +1 more source

Differential Evolution for Multiobjective Portfolio Optimization [PDF]

Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk).
Sandra Paterlini, Thiemo Krink
core