Fuzzy multi-objective programming: A systematic literature review
N Karimi, MR Feylizadeh, K Govindan… - Expert systems with …, 2022 - Elsevier
Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …
arise in solving optimization problems. Over the past decades, classical optimization …
Using artificial intelligence to make sustainable development decisions considering VUCA: a systematic literature review and bibliometric analysis
A Nikseresht, B Hajipour, N Pishva… - … science and pollution …, 2022 - Springer
Sustainable development emergent subfields have been rapidly evolving, and their
popularity increased in recent years. Sustainable development is a broad concept having …
popularity increased in recent years. Sustainable development is a broad concept having …
A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making
To address the problem of combined heat and power economic emission dispatch
(CHPEED), a two-stage approach is proposed by combining multi-objective optimization …
(CHPEED), a two-stage approach is proposed by combining multi-objective optimization …
[HTML][HTML] Optimal fuzzy based economic emission dispatch of combined heat and power units using dynamically controlled Whale Optimization Algorithm
The significance and purpose of this multi-objective Combined Heat and Power Economic
Emission Dispatch (MO-CHPEED) problem aims to determine the optimal generator output …
Emission Dispatch (MO-CHPEED) problem aims to determine the optimal generator output …
Large-scale combined heat and power economic dispatch using a novel multi-player harmony search method
Combined heat and power (CHP) plants have the capability of supplying power and heat
energy altogether. The major aim of CHP economic dispatch (CHPED) is determining …
energy altogether. The major aim of CHP economic dispatch (CHPED) is determining …
A review of co-optimization approaches for operational and planning problems in the energy sector
This paper contributes to a comprehensive perspective on the application of co-optimization
in the energy sector–tracking the frontiers and trends in the field and identifying possible …
in the energy sector–tracking the frontiers and trends in the field and identifying possible …
Quantifying and managing the water-energy-food nexus in dry regions food insecurity: New methods and evidence
Ensuring water, energy, and food security with minimum damage to groundwater resources
is a key challenge to achieve sustainable development in arid areas. To address this …
is a key challenge to achieve sustainable development in arid areas. To address this …
Stochastic multi-objective optimization of combined heat and power economic/emission dispatch
Y ali Shaabani, AR Seifi, MJ Kouhanjani - Energy, 2017 - Elsevier
In this paper, an optimization technique based on time-varying acceleration particle swarm
optimization (TVAC-PSO) is applied for optimizing economic dispatch and emission …
optimization (TVAC-PSO) is applied for optimizing economic dispatch and emission …
Reinforcement-learning-based multi-objective differential evolution algorithm for large-scale combined heat and power economic emission dispatch
As social and environmental issues become increasingly serious, both fuel costs and
environmental impacts should be considered in the cogeneration process. In recent years …
environmental impacts should be considered in the cogeneration process. In recent years …
A novel mantis search algorithm for economic dispatch in combined heat and power systems
Economic dispatch in combined heat and power (CHP) schemes takes into account the
trade-off between generating electricity and producing heat, ensuring that the system …
trade-off between generating electricity and producing heat, ensuring that the system …