[PDF][PDF] List of references on evolutionary multiobjective optimization
CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Bi-objective dependent location quadratic assignment problem: Formulation and solution using a modified artificial bee colony algorithm
S Samanta, D Philip, S Chakraborty - Computers & Industrial Engineering, 2018 - Elsevier
Combinatorial optimization problems arise from various real life situations and the quadratic
assignment problem (QAP) to model a facility layout problem or a plant location problem is …
assignment problem (QAP) to model a facility layout problem or a plant location problem is …
PasMoQAP: a parallel asynchronous memetic algorithm for solving the multi-objective quadratic assignment problem
C Sanhueza, F Jiménez, R Berretta… - 2017 IEEE congress …, 2017 - ieeexplore.ieee.org
Multi-Objective Optimization Problems (MOPs) have attracted growing attention during the
last decades. Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used …
last decades. Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used …
A Pareto communicating artificial bee colony algorithm for solving bi-objective quadratic assignment problems
S Samanta, D Philip, S Chakraborty - OPSEARCH, 2024 - Springer
Minimization of the interdepartmental flow within a given facility is often treated as a
quadratic assignment problem (QAP). It is an NP-hard, combinatorial optimization problem …
quadratic assignment problem (QAP). It is an NP-hard, combinatorial optimization problem …
A memetic algorithm for the bi-objective quadratic assignment problem
Recently, multi-objective evolutionary algorithms (MOEAs) have been extensively used to
solve multi-objective optimization problems (MOPs) since they have the ability to …
solve multi-objective optimization problems (MOPs) since they have the ability to …
Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm
R Sandoval-Soto, M Villalobos-Cid… - … Conference of the …, 2017 - ieeexplore.ieee.org
Several multi-objective evolutionary strategies have been successfully used to solve
computationally complex optimization problems. The design contemplates many challenges …
computationally complex optimization problems. The design contemplates many challenges …
[PDF][PDF] Scalable and Efficient Multi-Objective Optimization Algorithms for Visual Data Exploration
C Sanhueza - 2019 - nova.newcastle.edu.au
By the time we finish reading this first sentence, terabytes of data would have been
collectively generated across the world through digital services and products. Undoubtedly …
collectively generated across the world through digital services and products. Undoubtedly …