Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute...
74 KB (9,564 words) - 04:04, 27 August 2024
single-objective optimization cases are presented. In the second part, test functions with their respective Pareto fronts for multi-objective optimization problems...
30 KB (867 words) - 15:35, 29 December 2023
Cho, S. B. (2012). A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem. 'International Journal of Applied...
48 KB (5,077 words) - 23:59, 2 July 2024
generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...
52 KB (6,012 words) - 12:31, 16 September 2024
objective. The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective...
21 KB (2,477 words) - 08:14, 30 July 2024
The problem changes from a single objective optimization problem (minimizing cost), to a multi-objective optimization problem (minimizing cost and maximizing...
32 KB (4,165 words) - 11:25, 19 May 2024
Lexicographic optimization is a kind of Multi-objective optimization. In general, multi-objective optimization deals with optimization problems with two...
10 KB (1,544 words) - 08:07, 4 June 2024
Multi-objective linear programming is a subarea of mathematical optimization. A multiple objective linear program (MOLP) is a linear program with more...
7 KB (1,003 words) - 10:09, 11 January 2024
to training the models separately. Inherently, Multi-task learning is a multi-objective optimization problem having trade-offs between different tasks...
31 KB (4,705 words) - 15:02, 8 September 2024
In multi-objective optimization, the Pareto front (also called Pareto frontier or Pareto curve) is the set of all Pareto efficient solutions. The concept...
10 KB (1,452 words) - 11:33, 12 June 2024