Optimization. Optimization is a scientific approach to decision-making for complex systems. It utilizes mathematical models that are abstract representations of the actual system. Due to its versatility and wide …

An integrated optimization model is formulated with a bi-objective function. ... Passenger flows are modelled based on Origin-Destination description, with the possibility of transfer connections and rerouting. Some fast heuristic algorithms are proposed, based on the iterated resolution of train rescheduling and delay management …

An integrated model of the PUNQ-S3 reservoir in the North Sea was constructed. Then, 16 parameters with the highest impact on target functions were selected for sensitivity analysis. The sensitivity analysis was based on the two-level Plackett–Burman design of experimental method. Finally, seven variables with the highest impact on the …

The integrated design of compliant mechanisms and actuators is essentially a multi-component system optimization problem considering the coupling of multiphysics. As shown in Fig. 1, during the optimization process, the shape of the embedded components is fixed and can only be rotated and translated, whereas the shape of the …

Specifically, extant studies on the integrated approach were reviewed under ML hyperparameter tuning using optimization, combined uncertainty estimation and decision making, integrated ML and scenario generation, integrated prediction, and …

A linearized aero-hydro-servo-elastic floating wind turbine model is presented and used to perform integrated design optimization of the platform, tower, mooring system, and blade-pitch controller for a 10 MW spar floating wind turbine. Optimal design solutions are found using gradient-based optimization with analytic derivatives, …

Physical description 1 online resource Series Lecture notes in electrical engineering ; v. 166. Online. Available online SpringerLink ... Describes integrated optimization techniques that ensure a graceful timing closure process and impact nearly every aspect of a typical physical synthesis flow. ...

This paper proposes an integrated optimization algorithm (IOA) designed for solving complicated optimization problems that are non-convex, non-differentiable, non …

The integrated optimization model for resource and energy management maximizes the business profits. ... Problem description. The petrochemical industry is gradually undergoing globalization and the competition among the importing and exporting countries of raw materials (e.g., naphtha and crude oil) or petrochemical products (e.g., …

In order to solve the frequently occurred nonlinear working characteristics problem of the devices in integrated energy system (IES), where this nonlinear problem causes the offset of operation characteristics and design points of those devices, in this paper, the hierarchical multi-objective fuzzy collaborative optimization model of IES …

Therefore, conducting scientific land use optimization and ecosystem ESV prediction research in state-level new areas holds substantial practical value and can broaden the research scope in this field. To address these issues, we developed an integrated NSGA–II–PLUS model to optimize land use for balancing economic …

In Section 3, the integrated optimization model is formulated through the establishment of the necessary interconnection constraints. ... In this section, we present a detailed description of the investigated problem and the …

This study aims to develop a novel and robust simulation-based integration framework to identify optimal locations for wave energy projects in Australia. The process of multi-criteria evaluating and selecting locations based on feasible conditions, published numerical data, and linguistic judgments of experts. With this aim in mind, this paper …

A multistage simulation-optimization-integrated methodology framework is established to effectively perform user-oriented reallocation and obtain real-time supply-demand distributions. Real-world case study shows that daily maximum profit has improved to 89506 RMB and system balance has increased up to 94.5 % under DPS.

This paper presents a review of tactical optimization models for integrated production and transport routing planning decisions. The objective of this research is to identify current trends and future research directions in this field, and to propose a classification framework based on the following elements: production, inventory and …

The integrated CI techniques are adopted to form the operating parameter optimization scheme with sensor data. Specifically, MGGP evolution method is used to …

Resorting to the pure explicit description, the topology and shape of the shell can be optimized simultaneously with fewer design variables and the obtained results can also be seamlessly linked with CAD systems. ... [28] developed a new integrated optimization approach for finding the optimal shape and topology of shell structures. In …

Next, when the integrated optimization designs of the components' layout and structural topology consider the interfacial stress constraints, ... The component description and interface stress criterion of the three-dimensional example are provided in Appendix B. The remaining theoretical parts of the three-dimensional example such as ...

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The combination of these two description models is used to implement integrated optimization of both the structural topology and the positions of the embedded holes. In the optimization process, the movement of the holes is achieved by solving the Hamilton–Jacobi equation, while the topological changes of the design domain are …

Integrated energy system can combine power, thermal and natural gas systems, which can effectively improve energy efficiency and maximize system benefits. The research on integrated energy system covers many aspects, among which the modeling and optimization research of system are more important. On the basis of existing research …

To efficiently solve the resultant integrated optimization problem on the number of appointments in each slot and time-invariant utility thresholds, we apply a simulation optimization approach that embeds the Optimal Computing Budget Allocation (OCBA) algorithm into a Particle Swarm Optimization (PSO) engine. ... Based on the …

The course is a mixture of theory sessions and computer practicals. The course is completed with an assignment to be finalized afterwards, for those who want to acquire 3 ECTS. Daily schedule. 9:30-12:30. lecture. 12:30-14:00. lunch + meet-the-teacher. 14:00-16:00. pen & paper exercises and/or computer practical.

Through the optimization process, the exergy efficiency improved by from 57% to 63.5% and LCOE was dropped to 0.0643 $/kWh. In a similar research, Najafi et al. [37] conducted an exergoeconomic and exergo-environmental optimization for an integrated system consisting MSF, GT, and SOFC. The optimization procedure …

Rather than the traditional planning and scheduling methodologies relying on linear programming (LP), a nonlinear model using Geddes fractional index (FI) is employed to describe the behavior of the crude distillation unit (CDU) and integrated with the entire plant-wide model. Although this representation provides more accurate prediction of ...

In the stock market, accurate trend judgment and reasonable asset distribution are effective ways to obtain ideal return. However, the real stock market is affected by the objective economic environment, investors' expected return and other potential factors, which makes the classical portfolio strategy face more challenges and …

For P j t, the description of this project and the texts generated by many developers who participated in this project can reflect the professions required by this project. ... This paper proposes a method of multi-objective optimization and integrated indicator-driven two-stage project recommendation in a time-dependent software ecosystem ...

Robot technology is considered one of the most promising technologies to achieve intelligent production, with picking robots being the most common type. Picking robots are highly integrated mechatronic systems, which autonomously complete tasks including picking, carrying, and sorting. The application of picking robots enhances the efficiency of …

Traditional industrial parks generally have the problem of energy waste and low energy utilization. In this paper, we study a multi-energy collaborative optimization problem between integrated energy system (IES) energy scheduling and production control of plant, which considers the change of user dissatisfaction caused by load adjustment after …

Under this background, integrated energy systems gradually present a state of high randomness and strong uncertainty, which affects the system collaborative optimization. In order to handle the multiple uncertainties' effects effectively, multi-objective optimization considering uncertainties of energy demand and renewable energy using ...