- Multiple objective particle swarm optimization technique for ...🔍
- Multi|objective|based economic and emission dispatch with ...🔍
- multiobjective optimization🔍
- Decision Support for a Housing Mobility Program Using a ...🔍
- Multiobjective Optimization Model for Sustainable Waste ...🔍
- multi|objective optimization for sustainable electric vehicle charging🔍
- Model|based production optimization under geological and ...🔍
- Development of Multi|objective Optimization Model of Community ...🔍
MULTI|OBJECTIVE OPTIMIZATION FOR ECONOMIC MOBILITY ...
Multiple objective particle swarm optimization technique for ...
The economic load dispatch problem is a non-linear constrained multi-objective optimization problem. The proposed MOPSO approach handles the problem as a multi- ...
Multi-objective-based economic and emission dispatch with ...
In this work, a study of economic and emission dispatch issues based on the multi-objective optimization is solved, and generation costs and emissions are ...
multiobjective optimization: history and promise
Edgeworth (1845-1926) and Vilfredo Pareto (1848-1923) are credited for first introducing the concept of non-inferiority in the context of economics. Since then ...
Decision Support for a Housing Mobility Program Using a ...
Section 3 presents a multiobjective optimization model for generating alternative allocations of low- income families across a metropolitan area according to ...
Multiobjective Optimization Model for Sustainable Waste ...
In this paper, we propose a multiobjective optimization model to design a cost-effective waste management supply chain, while considering sustainability issues.
multi-objective optimization for sustainable electric vehicle charging
The study analyzes the economic, operational, and sustainability aspects of the optimized system and compares it with HOMER software. The results show that NSGA ...
Model-based production optimization under geological and ...
It is essential to handle optimization problems under both geological and economic uncertainties. In this study, a Pareto-based Multi-Objective ...
Development of Multi-objective Optimization Model of Community ...
The predicted impact on domestical supply, employment, migration, and household income from this ML model can act as coefficients of objectives functions ( ...
Evolution-guided Bayesian optimization for constrained multi ...
To reach target properties efficiently, these platforms are increasingly paired with intelligent experimental design. However, current ...
Multiobjective Optimization - Ehrgott - 2008 - Wiley Online Library
The goal of multiobjective optimization is to identify those alternatives that cannot be improved according to the “less is better” paradigm.
Multi-Objective Sizing Optimization Method of Microgrid Considering ...
Microgrid serves as a promising solution to integrate and manage distributed renewable energy resources. In this paper, we establish a ...
A Multi-Objective Optimization Model for Microgrid ... - IEEE Xplore
The comprehensive analysis of the simulation results indicates that the proposed multi-objective MG optimization model by using the cooperative game theory ...
Multi-Objective Optimal Dispatching and Operation Control of a Grid ...
The multi-objective optimization dispatch problem is formulated to simultaneously minimize the operating cost, pollutant emission level as well as the power ...
Multi-objective optimization of level of service in urban transportation
The evolutionary algorithm searches combinations of number of private/public transportation users, capacity of buses, and time interval between bus departures ...
Lecture 24: Multi Objective Optimization - Kenneth L. Judd
Multi Objective Optimization: Optimal Taxation. ... Europe: Here's an opportunity! Take it! Games and Economic Behavior · Long ...
A dynamic bi-objective optimization model for a closed loop supply ...
The proposed model identifies the optimal selection of CLSC facilities and manages both forward and reverse flows between them. The economic ...
Robust parameter design and economical multi-objective ... - Redalyc
Köksoy & Doganaksoy [7] use a mean squared error (MSE) reduction approach and joint optimization of the mean and variance. Copeland & Nelson [8] used quadratic ...
Multi-objective optimization for sustainable electric vehicle charging
sustainable mobility, along with potential economic and social devel- opment benefits [14–17]. However, integrating renewable energy into.
Applications of Multi-Objective Optimization to Industrial Processes
Multiobjective Optimization of Inline Mobile ... A Multi-Objective Optimization of Energy, Economic, and Carbon Emission in a Production.
Multi-Objective Optimization Framework for Integration of Distributed ...
Electricity demand has increased over the past years and is predicted to grow continually in the future due to economic and population expansion [1]. Therefore, ...