Results 31 to 40 of about 2,269,659 (185)
CAPSO: Chaos Adaptive Particle Swarm Optimization Algorithm
As an influential technology of swarm evolutionary computing (SEC), the particle swarm optimization (PSO) algorithm has attracted extensive attention from all walks of life.
Youxiang Duan +5 more
doaj +1 more source
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes [PDF]
Bayesian optimization (BO) methods are useful for optimizing functions that are expensive to evaluate, lack an analytical expression and whose evaluations can be contaminated by noise. These methods rely on a probabilistic model of the objective function,
Garrido-Merchán, Eduardo C. +1 more
core +2 more sources
Coalition structure generation in cooperative games with compact representations [PDF]
This paper presents a new way of formalizing the coalition structure generation problem (CSG) so that we can apply constraint optimization techniques to it. Forming effective coalitions is a major research challenge in AI and multi-agent systems.
Atsushi Iwasaki +5 more
core +2 more sources
Optimizing Hardware Function Evaluation
We present a methodology and an automated system for function evaluation unit generation. Our system selects the best function evaluation hardware for a given function, accuracy requirements, technology mapping, and optimization metrics, such as area, throughput, and latency. Function evaluation f(x) typically consists of range reduction and the actual
Lee, DU, Gaffar, AA, Mencer, O, Luk, W
openaire +3 more sources
Optimizing Polymatroid Functions
We consider a class of optimization problems that involve determining the maximum value that a function in a particular class can attain subject to a collection of difference constraints. We show that a particular linear programming technique, based on duality and projections, can be used to rederive some structural results that were previously ...
Im, Sungjin +4 more
openaire +2 more sources
The protection and development of World Heritage Sites are of great significance for inheriting human civilization, and it is crucial to maintain and enhance their brand quality.
Wanchao Kang +5 more
doaj +1 more source
A Collection of Challenging Optimization Problems in Science, Engineering and Economics
Function optimization and finding simultaneous solutions of a system of nonlinear equations (SNE) are two closely related and important optimization problems.
Grosan, Crina, Mehta, Dhagash
core +1 more source
Decomposition approaches to integration without a measure [PDF]
Extending the idea of Even and Lehrer [3], we discuss a general approach to integration based on a given decomposition system equipped with a weighting function, and a decomposition of the integrated function.
Greco, Salvatore +3 more
core +2 more sources
Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety of practical applications.
Sankalap Arora +4 more
doaj +1 more source
An Improved Harris’s Hawks Optimization for SAR Target Recognition and Stock Market Index Prediction
Harris's hawks optimization (HHO) algorithm proposed in 2019 is a novel population-based, nature-inspired optimization paradigm that imitates the cooperative behavior and chasing style of Harris's hawks in nature called surprise pounce.
Hongping Hu +4 more
doaj +1 more source

