Concept

Multi-objective optimization

Related lectures (31)

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Energy optimization strategies

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

MILP Model and Typical Days by FM

Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.

Computational Aspects of Optimization

Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.

Design Optimization: Principles and Applications

Covers design optimization principles, virtual prototypes, multi-objective optimization, and challenges in the field.

Concept Selection and Tradespace Exploration

Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.

Multi-Objective Optimization: Methods & Solutions

Explores key performance indicators, multi-objective optimization, and heuristic methods for reaching optimum solutions.

Geometric Computing Laboratory: Inverse Design Optimization

Explores inverse design optimization in geometric computing, covering topics such as deployable structures, material-aware design, and programmed materials.

Examination Procedure and Energy System Optimization

Explores examination procedures, energy system optimization, PV systems, and financial metrics.

Optimization and Simulation

Explores transformations into single-objective functions, lexicographic rules, and constrained optimization in optimization and simulation.

Two Stage Heat Pump: Application and Optimization

Covers the application and optimization of a two-stage heat pump system, emphasizing accurate modeling and optimization for energy systems.

Energy Optimization in Memory Systems

Explores energy optimization in memory systems, emphasizing the importance of memory hierarchies and trade-offs between reliability and timeliness.

Multi-Criteria Decisions: Pareto Optimization Techniques

Delves into Pareto optimization techniques for generating system configurations and making decisions efficiently.

Optimization Problem: Feasible Region Analysis

Explores optimization problems, feasible regions, and objective functions with a focus on Lagrange multipliers and convexity.

Inverse Design and Sensitivity Analysis

Explores optimal transport, transforming light, inverse design optimization, and sensitivity analysis for shape optimization.

Multi-objective Optimization

Introduces multi-objective optimization, explaining dominance, Pareto optimality, and the Pareto frontier.

Convergence Criteria

Explores convergence criteria in optimization algorithms, emphasizing the importance of stopping conditions and attention to large values.

Optimization and Simulation

Explores optimization, simulation, heuristics, and Pareto solutions in multi-objective problems.

Heuristic Optimization Methods

Explores heuristic optimization methods to find the global optimum efficiently.