Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute...
74 KB (9,573 words) - 07:28, 12 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 (5,990 words) - 14:45, 24 August 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
concerned with conflicting alternatives. It is distinct from multi-objective optimization in that it is concerned with agents acting in environments. Hayes...
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Active learning (machine learning) Multi-objective optimization Močkus, J. (1989). Bayesian Approach to Global Optimization. Dordrecht: Kluwer Academic. ISBN 0-7923-0115-3...
15 KB (1,612 words) - 07:25, 25 June 2024
to training the models separately. Inherently, Multi-task learning is a multi-objective optimization problem having trade-offs between different tasks...
32 KB (4,815 words) - 06:12, 19 August 2024