MCDM, EMO and Hybrid Approaches: Tutorial and Review
Mathematical and Computational Applications, 2022 Most of the practical applications that require optimization often involve multiple objectives. These objectives, when conflicting in nature, pose both optimization as well as decision-making challenges.
Ankur Sinha, Jyrki Wallenius
doaj +1 more source
Correction: Multi-Criteria Optimization of Regulation in Metabolic Networks
PLoS ONE, 2012 Clara Higuera +4 more
doaj +4 more sources
Intelligent decision support in the optimization of irrigation systems in agriculture [PDF]
E3S Web of Conferences, 2023 The issues of determining the optimal values of the regulatory parameters of irrigation systems engaged in the cultivation of agricultural crops are considered.
Kabildjanov Alexander +2 more
doaj +1 more source
Multi-criteria optimization in a methanol process
Applied Thermal Engineering, 2009 Abstract Opportunities for additional profit in retrofits depend very much on the existing plant structure, its parameters and energy system. Combined production of heat flow rate, power and chemical products can improve process efficiency. This paper presents an application of the nonlinear programming (NLP) optimization techniques, including ...
Kovač Kralj, Anita, Glavič, Peter
openaire +3 more sources
Multi-criteria optimal task allocation at the edge [PDF]
Future Generation Computer Systems, 2019 Abstract In Internet of Things (IoT), numerous nodes produce huge volumes of data that are the subject of various processing tasks. Tasks execution on top of the collected data can be realized either at the edge of the network or at the Fog/Cloud. Their management at the network edge may limit the required time for concluding responses and return the
Kostas Kolomvatsos +1 more
openaire +2 more sources
Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. [PDF]
, 2006 We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users.
Ramsden, Jeremy +10 more
core +1 more source
Probability of improvement methods for constrained multi-objective optimization [PDF]
, 2008 This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization.
G.I. Hawe +3 more
core +1 more source
Multi-Criteria Optimization in Operations Scheduling Applying Selected Priority Rules
Applied Sciences, 2021 The utilization of a specific priority rule in scheduling operations in flexible job shop systems strongly influences production goals. In a context of production control in real practice, production performance indicators are evaluated always en bloc ...
Zuzana Červeňanská +3 more
doaj +1 more source
Parallel Universes: Multi-Criteria Optimization
, 2007 In this paper parallel universes are defined by their relation to multi-criteria optimization combined with an explicit or implicit link for the unambiguous identification of an optimum. As an explicit link function the desirability index is introduced. Desirabilities are also used for restricting the Pareto set to desired parts.
Weihs, Claus, Trautmann, Heike
openaire +4 more sources
Optimization Library for Interactive Multi-Criteria Optimization Tasks
, 2012 The commercial library Optimization 2.1 for interactive multi-criteria optimization tasks has been released along with Dymola 2013. The library offers several numerical optimization algorithms for solving different kinds of optimization tasks.
Pfeiffer, Andreas, Andreas Pfeiffer
core +1 more source