Results 11 to 20 of about 1,466,009 (282)
Invasion Percolation and Global Optimization
4 pages, 3 Postscript figures avaliable from alb@nd.edu ...
Barabás, Albert-László
openaire +4 more sources
Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
A. Günay +34 more
core +2 more sources
A Novel Chimp Optimization Algorithm with Refraction Learning and Its Engineering Applications
The Chimp Optimization Algorithm (ChOA) is a heuristic algorithm proposed in recent years. It models the cooperative hunting behaviour of chimpanzee populations in nature and can be used to solve numerical as well as practical engineering optimization ...
Quan Zhang +5 more
doaj +1 more source
Global Continuous Optimization with Error Bound and Fast Convergence [PDF]
This paper considers global optimization with a black-box unknown objective function that can be non-convex and non-differentiable. Such a difficult optimization problem arises in many real-world applications, such as parameter tuning in machine learning,
Kawaguchi, Kenji +2 more
core +2 more sources
Quadratically constrained quadratic programs (QCQP), which often appear in engineering practice and management science, and other fields, are investigated in this paper.
Chenyang Hu +3 more
doaj +1 more source
Neural Network Algorithm with Dropout Using Elite Selection
A neural network algorithm is a meta-heuristic algorithm inspired by an artificial neural network, which has a strong global search ability and can be used to solve global optimization problems.
Yong Wang, Kunzhao Wang, Gaige Wang
doaj +1 more source
Application of reduced-set pareto-lipschitzian optimization to truss optimization [PDF]
In this paper, a recently proposed global Lipschitz optimization algorithm Pareto-Lipschitzian Optimization with Reduced-set (PLOR) is further developed, investigated and applied to truss optimization problems.
Mockus, J +4 more
core +1 more source
Distributed global optimization (DGO) [PDF]
A new technique of global optimization and its applications in particular to neural networks are presented. The algorithm is also compared to other global optimization algorithms such as Gradient descent (GD), Monte Carlo (MC), Genetic Algorithm (GA) and other commercial packages.
Valafar, Homayoun +2 more
openaire +2 more sources
A hybrid multiagent approach for global trajectory optimization [PDF]
In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers(corresponding to a set of different design
A. Torn +15 more
core +1 more source
Agent-based Optimization of Advisory Strategy Parameters
In this paper, an application of Evolutionary Multiagent Systems (EMAS) and its memetic version to the optimization of advisory strategy (in this case, Sudoku advisory strategy) is considered.
Mateusz Polnik +2 more
doaj +1 more source

