Related Experiment Video
Updated: Mar 28, 2026
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
13.6K
Optimization instances for deterministic and stochastic problems on energy efficient investments planning at the
Emilio L Cano1, Javier M Moguerza1, Antonio Alonso-Ayuso1
1Department of Computer Science and Statistics, Rey Juan Carlos University, Spain.
Data in Brief
|December 23, 2015
Summary
This study defines optimization instances and their components, including symbolic model specifications and data. It presents real-world optimization instances for investment planning in building energy efficiency.
Area of Science:
- Operations Research
- Computer Science
- Building Science
Background:
- Optimization problems involve objective functions and constraints, often expressed as equations with decision variables and parameters.
- Linear Programming (LP) is a classical form of optimization where combinations are linear.
- An optimization instance comprises a Symbolic Model Specification (SMS), set elements, parameter data, and optimal decisions.
Purpose of the Study:
- To define and structure optimization instances for clarity and reproducibility.
- To present a dataset of real-world optimization instances.
- To facilitate research in investment planning for energy-efficient technologies in buildings.
Main Methods:
- Formal definition of optimization instances and their constituent parts (SMS, sets, parameters, solutions).
- Data collection and structuring for real-world investment planning scenarios.
- Application of optimization principles to energy-efficient technology investment.
Main Results:
- A comprehensive framework for understanding optimization instances.
- A dataset of diverse optimization instances derived from building-level energy efficiency investments.
- Demonstration of the link between symbolic models and concrete data for practical applications.
Conclusions:
- Optimization instances are crucial for defining and solving complex problems.
- The presented data article provides valuable resources for researchers in optimization and sustainable building technologies.
- This work supports data-driven decision-making in energy efficiency investments.
Related Concept Videos
01:26Optimization Problems
180
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
180
01:16Energy Conservation and Bernoulli's Equation
11.1K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
11.1K
01:26Design Example: Sustainability in Concrete Building
467
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
467
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
397
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
397
01:28Methods of Medium Optimization
45
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
45
01:21Distributed Loads: Problem Solving
1.2K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.2K