[图书][B] Distributed particle swarm optimization for structural Bayesian network learning
F Sahin, A Devasia - 2007 - Citeseer
Particle Swarm Optimization (PSO) was first introduced as a concept for a non-linear
optimizer by Kennedy and Eberhart in 1995. Their seminal work articulates a technique of …
optimizer by Kennedy and Eberhart in 1995. Their seminal work articulates a technique of …
A multi-objective binary bat algorithm
LM Amine, K Nadjet - Proceedings of the International Conference on …, 2015 - dl.acm.org
Bat Algorithm (BA) is a recently proposed heuristic algorithm based on the echolocation
behavior of bats. BA has proven to have better performance than other well-known …
behavior of bats. BA has proven to have better performance than other well-known …
[PDF][PDF] 基于粗糙集的投标风险分析与规避决策模型研究——国家自然科学基金项目(70271031) 回溯
张金隆， 卢新元， 谢刚， 黄威 - 管理学报, 2008 - manu68.magtech.com.cn
(1. 华中科技大学管理学院; 2. 华中师范大学信息管理系; 3. 中国科学院科技政策与管理科学研究
所) 摘要: 回顾了国家自然科学基金项目“基于粗糙集的投标风险分析与规避决策模型研究 …
所) 摘要: 回顾了国家自然科学基金项目“基于粗糙集的投标风险分析与规避决策模型研究 …
Static transmission expansion planning considering uncertainty in demand using BPSO
LF Fuerte-Ledezma… - 2013 North American …, 2013 - ieeexplore.ieee.org
This paper discusses static transmission expansion planning (STEP) in terms of minimizing
the costs of investment and operations. We propose a transmission expansion model that …
the costs of investment and operations. We propose a transmission expansion model that …
Query optimization in relevance feedback using hybrid GA-PSO for effective web information retrieval
SNA Ibrahim, A Selamat… - 2009 Third Asia …, 2009 - ieeexplore.ieee.org
Due to the rapid growth of Web pages available on the Internet recently, searching a
relevant and up-to-date information has become a crucial issue. Conventional search …
relevant and up-to-date information has become a crucial issue. Conventional search …
[PDF][PDF] A new discretization technique for enhancing discrete particle swarm optimization's performance
C Pornsing, N Sangkhiew… - … & Technology Asia, 2022 - thaiscience.info
In this paper, a new technique of converting continuous values to discrete values for Particle
Swarm Optimization (PSO) is proposed. PSO is a powerful metaheuristic search technique …
Swarm Optimization (PSO) is proposed. PSO is a powerful metaheuristic search technique …
[HTML][HTML] Quantum inspired particle swarm combined with lin-kernighan-helsgaun method to the traveling salesman problem
ABSTRACT The Traveling Salesman Problem (TSP) is one of the most well-known and
studied problems of Operations Research field, more specifically, in the Combinatorial …
studied problems of Operations Research field, more specifically, in the Combinatorial …
Solving large unconstrainted multi level lot-sizing problem by a binary particle swarm optimization
K Wajanawichakon, R Pitakaso - International Journal of …, 2011 - Taylor & Francis
In this paper, we present a binary particle swarm optimization (PSO) algorithm for
unconstrained multi-level lot-sizing problem (MLLS), which is a production planning problem …
unconstrained multi-level lot-sizing problem (MLLS), which is a production planning problem …
A simulation platform to demonstrate active demand-side management by incorporating heuristic optimization for home energy management
N Gudi - 2010 - rave.ohiolink.edu
Abstract Demand-Side Management (DSM) can be defined as the implementation of
policies and measures to control, regulate, and reduce energy consumption. This document …
policies and measures to control, regulate, and reduce energy consumption. This document …