Analysis of new niching genetic algorithms for finding multiple solutions in the job shop scheduling
In this paper the performance of the most recent multi-modal genetic algorithms (MMGAs) on
the Job Shop Scheduling Problem (JSSP) is compared in term of efficacy, multi-solution …
the Job Shop Scheduling Problem (JSSP) is compared in term of efficacy, multi-solution …
[HTML][HTML] A multi-agent based cooperative approach to scheduling and routing
In this paper, we propose a general agent-based distributed framework where each agent is
implementing a different metaheuristic/local search combination. Moreover, an agent …
implementing a different metaheuristic/local search combination. Moreover, an agent …
Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism
We present a self-adaptive and distributed metaheuristic called Coalition-Based
Metaheuristic (CBM). This method is based on the Agent Metaheuristic Framework (AMF) …
Metaheuristic (CBM). This method is based on the Agent Metaheuristic Framework (AMF) …
A multi-agent system to solve the production–distribution planning problem for a supply chain: a genetic algorithm approach
A Kazemi, MH Fazel Zarandi… - The International Journal …, 2009 - Springer
The production–distribution planning problem (PDPP) is one of the most important
approaches to support global optimization in supply chain management and should be …
approaches to support global optimization in supply chain management and should be …
[HTML][HTML] Semi-parametric spatial autoregressive models in freight generation modeling
T Krisztin - Transportation Research Part E: Logistics and …, 2018 - Elsevier
This paper proposes for the purposes of freight generation a spatial autoregressive model
framework, combined with non-linear semi-parametric techniques. We demonstrate the …
framework, combined with non-linear semi-parametric techniques. We demonstrate the …
Multi-agent job shop scheduling system based on co-operative approach of idle time minimisation
A Kouider, B Bouzouia - International Journal of Production …, 2012 - Taylor & Francis
In this paper, a distributed multi-agent scheduling system (MASS) based on co-operative
approach is proposed to solve static and dynamic job shop scheduling problems (JSSP) …
approach is proposed to solve static and dynamic job shop scheduling problems (JSSP) …
e-JABAT–an implementation of the web-based A-Team
The chapter proposes a middleware called JABAT (JADE-Based A-Team). JABAT allows to
design and implement A-Team architectures for solving combinatorial and selected non …
design and implement A-Team architectures for solving combinatorial and selected non …
JADE-based A-team environment
P Jȩdrzejowicz, I Wierzbowska - International Conference on …, 2006 - Springer
The paper proposes a JADE-based A-Team environment (JADE-A-Team) as a middleware
supporting the construction of the dedicated A-Team architectures used for solving variety of …
supporting the construction of the dedicated A-Team architectures used for solving variety of …
Distributed learning with data reduction
I Czarnowski - Transactions on computational collective intelligence …, 2011 - Springer
The work deals with the distributed machine learning. Distributed learning from data is
considered to be an important challenge faced by researchers and practice in the domain of …
considered to be an important challenge faced by researchers and practice in the domain of …
Agent-based distributed manufacturing scheduling: An ontological approach
S Saeidlou, M Saadat, E Amini Sharifi… - Cogent …, 2019 - Taylor & Francis
The purpose of this paper is the need for self-sequencing operation plans in autonomous
agents. These allow resolution of combinatorial optimisation of a global schedule, which …
agents. These allow resolution of combinatorial optimisation of a global schedule, which …