Results 91 to 100 of about 13,755 (295)
This study focused on reducing the simulation counts required for circuit sizing by optimizing the initial population selection in evolutionary algorithms. We investigated the impact of different sampling methods on the efficiency of multi‐objective optimization based on differential evolution and Bayesian inference, a leading algorithm in circuit ...
Georgian Nicolae +5 more
wiley +1 more source
A Spectral Conjugate Gradient Method for Unconstrained Optimization [PDF]
Ernesto G. Birgin, J. M. Martı́nez
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Copious questions in global change biology require estimates of climatic suitability for species in the past or future, often via transfers of ecological niche models (ENMs) using outputs from global circulation models (GCMs). However, available GCMs differ markedly, affecting hindcasts and forecasts of species potential distributions. We propose using
Lázaro Guevara +5 more
wiley +1 more source
Evolutionary pattern search algorithms for unconstrained and linearly constrained optimization [PDF]
William E. Hart
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This work proposes a strategy that overcomes the porosity‐graphitization antagonism in carbon materials, converting Sargentodoxa cuneata residue into porous graphitic carbons to enable sustainable, high‐performance energy storage from biomass waste. The antagonism between porosity and graphitization critically limits carbon supercapacitor performance ...
Chuixiong Kong +5 more
wiley +1 more source
A family of hybrid conjugate gradient methods for unconstrained optimization [PDF]
Yu‐Hong Dai
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Optimal parameter extraction of three‐diode photovoltaic model using the hybrid golden jackal optimizer with fitness distance balance mechanism and Berndt‐Hall‐Hall‐Hausman method. ABSTRACT Accurate simulation and operation of photovoltaic (PV) systems depend on reliable extraction of model parameters from experimental data.
Muthuramalingam Lakshmanan +3 more
wiley +1 more source
Two Algorithms for Solving Unconstrained Global Optimization by Auxiliary Function Method
In this paper, we present two algorithms that are designed to solve unconstrained global optimization problems. The first algorithm is introduced for resolving unconstrained optimization problems by dividing a multidimensional problem into partitions of
Shehab Ahmed Ibrahem +2 more
doaj +1 more source
The Particle Swarm Shooting Method for Solving the Bratu's Problem
We transform the Bratu's problem directly into an unconstrained optimization problem, and then solve it by a simple algorithm, which combining the particle swarm optimization algorithm with Runge-kutta method together.
Yinghong Xu, Xiangjie Li, Lipu Zhang
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ABSTRACT In this paper we elucidate how gender may influence the mechanisms and conditions under which perceived inclusion climate facilitates authenticity at work. We nuance conservation of resources theory with social role theory to argue that perceived inclusion climate acts as a caravan passageway through which authenticity at work can be fostered,
Luke Fletcher, Evgenia I. Lysova
wiley +1 more source

