Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Optimization problem

Known as: NP optimization problem, Optimal solution, Optimal value 
In mathematics and computer science, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization… Expand
Wikipedia

Related topics

Related topics

50 relations
APXApproximation-preserving reductionBOBYQABackpropagation
Expand

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Network Representation Learning: A Survey
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
Review
2019
Review
2019
A Survey on Network Embedding
Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2018
Review
2018
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Review
2018
Review
2018
RBFOpt: an open-source library for black-box optimization with costly function evaluations
We consider the problem of optimizing an unknown function given as an oracle over a mixed-integer box-constrained set. We assume… Expand
  • table 1
  • figure 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
Review
2018
Review
2018
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as… Expand
  • figure 1
  • figure 2
  • table I
  • figure 3
  • figure 4
Is this relevant?
Review
2018
Review
2018
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems
Abstract Development of efficient multi-objective evolutionary algorithms (MOEAs) has provided effective tools to solve… Expand
Is this relevant?
Review
2017
Review
2017
Deep Multimodal Learning: A Survey on Recent Advances and Trends
The success of deep learning has been a catalyst to solving increasingly complex machine-learning problems, which often involve… Expand
  • figure 1
Is this relevant?
Review
2017
Review
2017
Search-Based Optimal Solvers for the Multi-Agent Pathfinding Problem: Summary and Challenges
Multi-agent pathfinding (MAPF) is an area of expanding research interest. At the core of this research area, numerous diverse… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Review
2017
Review
2017
A Survey of Preference-Based Reinforcement Learning Methods
Reinforcement learning (RL) techniques optimize the accumulated long-term reward of a suitably chosen reward function. However… Expand
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Review
2016
Review
2016
Simulation optimization: a review of algorithms and applications
Simulation optimization (SO) refers to the optimization of an objective function subject to constraints, both of which can be… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE