A research survey: review of AI solution strategies of job shop scheduling problem
This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS)
problem. In the literature successful approaches of artificial intelligence techniques such as …
problem. In the literature successful approaches of artificial intelligence techniques such as …
Recent research trends in genetic algorithm based flexible job shop scheduling problems
Flexible Job Shop Scheduling Problem (FJSSP) is an extension of the classical Job Shop
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …
Review of job shop scheduling research and its new perspectives under Industry 4.0
Traditional job shop scheduling is concentrated on centralized scheduling or semi-
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …
[引用][C] Engineering Optimization: An Introduction with Metaheuristic Applications
XS Yang - 2010 - books.google.com
An accessible introduction to metaheuristics and optimization, featuring powerful and
modern algorithms for application across engineering and the sciences From engineering …
modern algorithms for application across engineering and the sciences From engineering …
[图书][B] Nature-inspired metaheuristic algorithms
XS Yang - 2010 - books.google.com
Modern metaheuristic algorithms such as particle swarm optimization and cuckoo search
start to demonstrate their power in dealing with tough optimization problems and even NP …
start to demonstrate their power in dealing with tough optimization problems and even NP …
A modified artificial bee colony algorithm for real-parameter optimization
B Akay, D Karaboga - Information sciences, 2012 - Elsevier
Swarm intelligence is a research field that models the collective intelligence in swarms of
insects or animals. Many algorithms that simulates these models have been proposed in …
insects or animals. Many algorithms that simulates these models have been proposed in …
[HTML][HTML] Artificial bee colony algorithm
D Karaboga - scholarpedia, 2010 - scholarpedia.org
The Artificial Bee Colony (ABC) algorithm is a swarm based meta-heuristic algorithm that
was introduced by Karaboga in 2005 (Karaboga, 2005) for optimizing numerical problems. It …
was introduced by Karaboga in 2005 (Karaboga, 2005) for optimizing numerical problems. It …
A survey: algorithms simulating bee swarm intelligence
D Karaboga, B Akay - Artificial intelligence review, 2009 - Springer
Swarm intelligence is an emerging area in the field of optimization and researchers have
developed various algorithms by modeling the behaviors of different swarm of animals and …
developed various algorithms by modeling the behaviors of different swarm of animals and …
A generalized type-2 fuzzy logic approach for dynamic parameter adaptation in bee colony optimization applied to fuzzy controller design
O Castillo, L Amador-Angulo - Information Sciences, 2018 - Elsevier
In this work a Generalized type-2 Fuzzy Logic System (GT2FLS) approach for dynamic
parameter adaptation in metaheuristics and for optimal fuzzy controller design is presented …
parameter adaptation in metaheuristics and for optimal fuzzy controller design is presented …
A local search genetic algorithm for the job shop scheduling problem with intelligent agents
L Asadzadeh - Computers & Industrial Engineering, 2015 - Elsevier
The job shop scheduling problem is one of the most important and complicated problems in
machine scheduling and is considered to be a member of a large class of intractable …
machine scheduling and is considered to be a member of a large class of intractable …