A benchmark test problem toolkit for multi-objective path optimization [PDF]
, 2019 Due to the complexity of multi-objective optimization problems (MOOPs) in general, it is crucial to test MOOP methods on some benchmark test problems.
Hu, Xiao-Bing +5 more
core +1 more source
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption [PDF]
, 2019 The development of large-scale distributed control systems has led to the outsourcing of costly computations to cloud-computing platforms, as well as to concerns about privacy of the collected sensitive data.
Alexandru, Andreea B. +5 more
core +2 more sources
Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems
IEEE Access, 2020 Multi-objective optimization problems (MOPs) have been widely studied during the last decades. In this article, we present a new intrinsically parallel approach based on Fractal decomposition (FDA) to solve MOPs.
Leo Souquet +2 more
doaj +1 more source
Knowledge-Driven Multi-Objective Evolutionary Scheduling Algorithm for Cloud Workflows
IEEE Access, 2022 Cloud workflow scheduling often encounters two conflicting optimization objectives of makespan and monetary cost, and is a representative multi-objective optimization problem (MOP).
Ya Zhou, Xiaobo Jiao
doaj +1 more source
Real-time experimental implementation of predictive control schemes in a small-scale pasteurization plant [PDF]
, 2015 Model predictive control (MPC) is one of the most used optimization-based control strategies for large-scale systems, since this strategy allows to consider a large number of states and multi-objective cost functions in a straightforward way.
JJ Ibarrola +7 more
core +2 more sources
Multi-Objective Optimisation for Large-Scale Offshore Wind Farm Based on Decoupled Groups Operation
Energies, 2022 Operation optimization for large-scale offshore wind farms can cause the fatigue loads of single wind turbines to exceed their limits. This study aims to improve the economic profit of offshore wind farms by conducting multi-objective optimization via ...
Yanfang Chen +2 more
doaj +1 more source
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization
, 2020 In this paper, we discuss a large-scale fleet management problem in a multi-objective setting. We aim to seek a receding horizon taxi dispatch solution that serves as many ride requests as possible while minimizing the cost of relocating vehicles.
Huh, Subin +4 more
core +1 more source
A goal programming methodology for multiobjective optimization of distributed energy hubs operation [PDF]
, 2014 This paper addresses the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs. The overall problem is here formalized by a nonlinear constrained multiobjective optimization problem and ...
A. Vaccaro +16 more
core +2 more sources
Electronics, 2022 Global optimization challenges are frequent in scientific and engineering areas where loads of evolutionary computation methods i.e., differential evolution (DE) and particle-swarm optimization (PSO) are employed to handle these problems.
M. A. Okoth +5 more
semanticscholar +1 more source
Life cycle assessment (LCA) applied to the process industry: a review [PDF]
, 2011 Purpose : Life cycle assessment (LCA) methodology is a well-established analytical method to quantify environmental impacts, which has been mainly applied to products. However, recent literature would suggest that it has also the potential as an analysis
Jacquemin, Leslie +2 more
core +6 more sources