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Multi-objective
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Part 2 book "Thermal power plants - Modeling, control, and efficiency improvement" includes content: Modeling and simulation for subsystems of a fossil fuel power plant; conventional neural network–based technologies for improving fossil fuel power plant efficiency; online learning integrated with CFD to control temperature in combustion; online learning integrated with cfd to identify slagging and fouling distribution; integrating multiobjective optimization with computational fluid dynamics to optimize the boiler combustion process,... and other contents.
228p
dianmotminh03
17-06-2024
1
0
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This paper presents the integrated, multiobjective, multi-product, multi-echelon environment optimization model for steel distribution network. Model formulated covers retail supply chain processes applicable for steel products starting from production of different grades of material, its transfer to company warehouse, then to distributor warehouse cum service centre and finally to retailer
10p
longtimenosee10
26-04-2024
3
1
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Water demand uncertainty in a water supply system (WSS) arises mainly due to the abnormal behaviors of water users and the change of network configuration when it is expanded to new consumers. In practice, this directly impacts the optimal designed WSS. This paper presents a methodology to address the issue of water demand uncertainty in the designing a WSS that combines the Latin Hypercube Sampling Technique (LHST) and a multiobjective algorithm optimization.
8p
vilarry
01-04-2024
6
1
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The present research and model is aimed at presenting an integrated multi-objective optimal supply chain model of Sepah Bank's green supply chain in terms of model uncertainty using meta-heuristic algorithms and providing a suitable conceptual framework. In this regard, a multiobjective optimization model is presented and solved using fireworks algorithms based on Pareto Archive and NSGA-II. The green banking phenomenon has emerged with the same purpose in the banking system of the world and today it has made significant progress in theoretical and operational aspects.
11p
longtimenosee07
29-03-2024
2
2
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Part 2 book "Applied chemistry and chemical engineering (Vol 2 - Principles, methodology and evaluation methods)" includes content: Protein structure prediction, 3D simulation of electrospun nanofiber jet, fructose and its impact on the diffusion of electrolytes in aqueous systems, application of evolutionary multiobjective optimization in designing chemical engineering and petroleum engineering systems and its wide technological vision - A critical overview and a broad scientific perspective
214p
muasambanhan09
16-03-2024
3
1
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This paper aims to design the multi-cell cross-sectional thin-walled columns with two crashworthiness criteria. An explicit finite element analysis (FEA) is used to derive higher-order response surfaces for these two objectives. In the process of multiobjective crashworthiness optimization, Deb and Gupta method was utilized to find out the knee points from the Pareto solutions space.
10p
vimarillynhewson
02-01-2024
3
3
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Ebook "Multicriteria optimization" provides the necessary mathematical foundation of multicriteria optimization to solve nonlinear, linear and combinatorial problems with multiple criteria. Motivational examples illustrate the use of multicriteria optimization in practice. Numerous illustrations and exercises as well as an extensive bibliography are provided.
329p
loivantrinh
29-10-2023
9
2
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This study proposes the application of an evolutionary algorithm in optimizing the construction process with Gantt charts to meet the multi-target requirements. The multi-target function is built based on single target criteria and is used as the cost function of the evolutionary algorithm. Application results with specific projects show multi-target optimization by using evolutionary algorithms that allow automatically building a suitable and balanced construction schedule between targets.
11p
visharma
20-10-2023
6
4
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Continued part 1, part 2 of ebook "Efficient learning machines: Theories, concepts, and applications for engineers and system designers" provides readers with contents including: deep neural networks; cortical algorithms; deep learning; multiobjective optimization; machine learning in action examples;...
135p
tieulangtran
28-09-2023
7
2
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This paper deals with approximate Pareto efficient solutions of a nonsmooth fractional interval-valued multiobjective optimization. We first introduce some types of approximate Pareto efficient solutions of the considered problem by considering the lower-upper interval order relation.
10p
viberkshire
09-08-2023
7
4
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The paper develops and implements a new and highly applicable framework for the computation of coupled Aero-Structural Design Optimization. The Multidisciplinary Aero-Structural Design Optimization is carried out and validated for a tested wing and can be easily extended for complex and practical design problems.
10p
vidoctorstrange
06-05-2023
5
2
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The paper has developed an optimization procedure to design the rotor lamination and magnetic sizes. The average torque is improved by changing the thickness of the outer bridge and magnetic width. Various metamodels with the best prediction performance generated for each of the multiobjective functions and constraints have been selected.
8p
vicaptainmarvel
21-04-2023
5
4
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Performance evaluation of the reaching laws in sliding mode control on the mass spring damper system
In this paper, the reaching laws in the sliding mode control (SMC) will be evaluated. The reaching laws include the constant rate reaching law, the exponential reaching law, and the power rate reaching law. A mass spring damper system (MSD) is chosen to test and evaluate the performance of the proposed controller.
6p
viericschmid
12-01-2022
14
0
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In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one. It is common that not all the efficient solutions can be computed in a short time and the search algorithm has to be stopped prematurely to analyze the solutions found so far.
19p
guernsey
28-12-2021
5
0
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This demonstrates that using the multi-objectives approach with a combination of the Discrete Differential Evolution mutation and the Memetic Algorithm evolutionary is a suitable approach for solving multiobjectives CPMP.
20p
spiritedaway36
28-11-2021
13
4
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Complex industrial systems often contain various uncertainties. Hence sophisticated fuzzy optimization (metaheuristics) techniques have become commonplace; and are currently indispensable for e ective design, maintenance and operations of such systems. Unfortunately, such state-of-the-art techniques suffer several drawbacks when applied to largescale problems.
18p
nguathienthan9
08-12-2020
19
1
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The organization of the canonical code has intrigued researches since it was first described. If we consider all codes mapping the 64 codes into 20 amino acids and one stop codon, there are more than 1.51 × 1084 possible genetic codes. The main question related to the organization of the genetic code is why exactly the canonical code was selected among this huge number of possible genetic codes.
20p
vikentucky2711
26-11-2020
13
1
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Exploratory analysis of multi-dimensional high-throughput datasets, such as microarray gene expression time series, may be instrumental in understanding the genetic programs underlying numerous biological processes.
19p
vikentucky2711
24-11-2020
13
1
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Asthma and allergies prevalence increased in recent decades, being a serious global health problem. They are complex diseases with strong contextual influence, so that the use of advanced machine learning tools such as genetic programming could be important for the understanding the causal mechanisms explaining those conditions.
16p
viconnecticut2711
28-10-2020
14
1
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In this study a multi-stage multi-objective transportation model is developed with fuzzy relations. Minimization of both cost and time of transportation are considered as two different objectives of first stage which are associated with a number of different criteria like detortion time, fixed charge and mode of transportation. In second stage, another objective i.e quantity of transported amount is considered on the basis of previous two objectives.
9p
cleopatrahuynh
01-06-2020
11
1
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