Search results
Results from the WOW.Com Content Network
Modern optimization theory includes traditional optimization theory but also overlaps with game theory and the study of economic equilibria. The Journal of Economic Literature codes classify mathematical programming, optimization techniques, and related topics under JEL:C61-C63.
Lexicographic max-min optimization; Lexicographic optimization; Limited-memory BFGS; Line search; Linear-fractional programming; Lloyd's algorithm; Local convergence; Local search (optimization) Luus–Jaakola
Multi-objective optimization; Multicriteria classification; Multidisciplinary design optimization; N. Nearest neighbor search; No free lunch in search and optimization;
Design optimization applies the methods of mathematical optimization to design problem formulations and it is sometimes used interchangeably with the term engineering optimization. When the objective function f is a vector rather than a scalar , the problem becomes a multi-objective optimization one.
SDA Optimization Algorithm SDA Nature-inspired Bio-inspired 2014 [42] Artificial Root Foraging Algorithm ARFA Nature-inspired Plant-based 2014 [43] Bumble Bees Mating Optimization BBMO 2014 Chicken Swarm Optimization CSO Nature-inspired Bio-inspired 2014 [44] Colliding Bodies Optimization CBO 2014 [45] Coral Reefs Optimization Algorithm CROA 2014
In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or limited computation capacity.
Simulation-based optimization (also known as simply simulation optimization) integrates optimization techniques into simulation modeling and analysis. Because of the complexity of the simulation, the objective function may become difficult and expensive to evaluate. Usually, the underlying simulation model is stochastic, so that the objective ...
These terms could be priors, penalties, or constraints. Explicit regularization is commonly employed with ill-posed optimization problems. The regularization term, or penalty, imposes a cost on the optimization function to make the optimal solution unique. Implicit regularization is all other forms of regularization. This includes, for example ...