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Quasi-oppositional Multi-objective Antlion Optimizer Based on Differential Evolution
2019
Journal of Physics, Conference Series
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In order to solve the multi-objective problem, an improved quasi-oppositional multi-objective antlion optimization algorithm based on differential evolution (DEQOMALO) is proposed. ...
The proposed DEQOMALO algorithm has good adaptability and effectiveness in solving the two-objective optimization problem. ...
Therefore, the quasi-oppositional multi-objective antlion optimization algorithm based on differential evolution proposed in this paper has good adaptability and robustness in solving multi-objective optimization ...
doi:10.1088/1742-6596/1267/1/012010
fatcat:yotbu3cbyfcafcyiq42hbw5ale
MODEL: Multi-objective differential evolution with leadership enhancement
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
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The use of the leadership concept was efficiently utilized for the acceleration of Particle Swarm Optimization (PSO) in a single-objective space. ...
To address these challenges, this paper incorporates the concept of leadership in a multi-objective variant of DE by introducing it into the mutation scheme. ...
called Multi-objective Differential Evolution with Leadership (MODEL). ...
doi:10.1109/cec.2014.6900592
dblp:conf/cec/BourennaniRN14
fatcat:m22cdagfjjhb5o2zdq46cgzpji
Differential Evolution based Multiobjective Optimization-A Review
2013
International Journal of Computer Applications
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Multiobjective differential evolution(MDE) is a powerful, stochastic multi objective optimization(MOO) algorithm based on Differential Evolution(DE) that aims to optimize a problem that involves multiple ...
This paper presents a review of some multi objective (back propagation) differential evolution algorithms. General Terms Algorithms. ...
Differential Evolution for Multi-Objective Optimization (DEMO) DEMO was proposed in [8] . ...
doi:10.5120/10541-5019
fatcat:cporrht2svc23cs45sb6hqssly
Performance Analysis of Variants of Differential Evolution on Multi-Objective Optimization Problems
2015
Indian Journal of Science and Technology
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Later, Robic and Filipic 9 introduced an algorithm called Differential Evolution for Multi-objective Optimization (DEMO) which is explained clearly in section 4.2. ...
Multi-Objective Optimization Problems Multi-objective optimization problems are the problem that has more than one conflicting objective function that has to be optimized simultaneously. ...
doi:10.17485/ijst/2015/v8i17/65727
fatcat:jw7y5fb7cfcxrj2fvxgfjnv6au
Limitation of Small-world Topology for Application in Non-dominated Sorting Differential Evolution
2012
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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This paper takes non-dominated sorting differential evolution algorithm (NSDE) based on small-world topology to solve eight multi-objective optimization problems (MOPs) for example. ...
In this paper, the limitation of small-world network topology for application in multi-objective optimization algorithm is proposed. ...
Eight test multi-objective optimization problems are taken for examples. ...
doi:10.12928/telkomnika.v10i2.816
fatcat:hqkcv5eylnd43l3oy3fkhv4wfm
Limitation of Small-world Topology for Application in Non-dominated Sorting Differential Evolution
2012
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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This paper takes non-dominated sorting differential evolution algorithm (NSDE) based on small-world topology to solve eight multi-objective optimization problems (MOPs) for example. ...
In this paper, the limitation of small-world network topology for application in multi-objective optimization algorithm is proposed. ...
Eight test multi-objective optimization problems are taken for examples. ...
doi:10.12928/telkomnika.v10i2.304
fatcat:bjsr2kqx3nfpnlorar7hvg4poq
Limitation of Small-world Topology for Application in Non-dominated Sorting Differential Evolution
2012
TELKOMNIKA Indonesian Journal of Electrical Engineering
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This paper takes non-dominated sorting differential evolution algorithm (NSDE) based on small-world topology to solve eight multi-objective optimization problems (MOPs) for example. ...
In this paper, the limitation of small-world network topology for application in multi-objective optimization algorithm is proposed. ...
Eight test multi-objective optimization problems are taken for examples. ...
doi:10.11591/telkomnika.v10i2.694
fatcat:7tjenxdnqre67nj6f4ar6jkjfy
Solving Rotated Multi-objective Optimization Problems Using Differential Evolution
[chapter]
2004
Lecture Notes in Computer Science
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using existing Multi-objective Genetic Algorithms. ...
This paper demonstrates that the self-adaptive technique of Differential Evolution (DE) can be simply used for solving a multiobjective optimization problem where parameters are interdependent. ...
Multi-objective Differential Evolution Differential Evolution has also been applied to multi-objective problems. ...
doi:10.1007/978-3-540-30549-1_74
fatcat:d2fh3iyhcngtjdfvtgwsqwr2yy
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
2006
Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06
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The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. ...
We present three novel DE variants for multi-objective optimization, and a report of their performance on four multi-objective problems with different characteristics. ...
Multi-objective Differential Evolution DE has been applied within a variety of multi-objective algorithms in order to solve multi-objective optimization problems. ...
doi:10.1145/1143997.1144119
dblp:conf/gecco/IorioL06a
fatcat:enkaxmc3zvffzljm3wr6iyudsi
An Improved Adaptive Differential Evolution based on Hybrid Method for Function Optimization
2016
International Journal of Hybrid Information Technology
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In order to improve the optimum speed, crease the diversity of the population and overcome the premature convergence problem in differential evolution(DE) algorithm for solving the complex optimization ...
problems, the chaotic optimization algorithm with powerful local searching capacity and multi-strategy are introduced into the DE algorithm in order to propose an improved adaptive differential evolution ...
Ramesh , et al., [13] proposed an improved multi-objective generalized differential evolution (I-GDE3) approach to solve optimal reactive power dispatch (ORPD) with multiple and competing objectives. ...
doi:10.14257/ijhit.2016.9.3.09
fatcat:e5pis4bq2zcxlplmwzl62ntzne
Multi-objective Optimization Based on Improved Differential Evolution Algorithm
2014
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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On the basis of the fundamental differential evolution (DE), this paper puts forward several improved DE algorithms to find a balance between global and local search and get optimal solutions through rapid ...
Meanwhile, a random mutation mechanism is adopted to process individuals that show stagnation behaviour. ...
Therefore, the research of multi-objective optimization algorithm has become a research hospot in current science and engineering design [2] . ...
doi:10.12928/telkomnika.v12i4.531
fatcat:6scl2yva75fplh4r2t4mdo2dta
Rotationally Invariant Crossover Operators in Evolutionary Multi-objective Optimization
[chapter]
2006
Lecture Notes in Computer Science
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Multi-objective problems with parameter interactions can present difficulties to many optimization algorithms. ...
We have investigated the behaviour of Simplex Crossover (SPX), Unimodal Normally Distributed Crossover (UNDX), Parent-centric Crossover (PCX), and Differential Evolution (DE), as possible alternatives ...
Differential Evolution has also been applied to multi-objective problems [17, 18, 19, 20, 6, 7] . ...
doi:10.1007/11903697_40
fatcat:a6lv472ov5bb7pufxo2l4hd2ti
Inverse design of materials by multi-objective differential evolution
2015
Computational materials science
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We developed a new package with novel algorithm for inverse design named as IM 2 ODE (inverse design of Materials by Multi-Objective Differential Evolution). ...
Inverse design is a promising approach in the realm of material science for finding structures with desired property. ...
Acknowledgement The authors thank Yang Zhou for completing part of the IM 2-ODE-package, Zheng-Lu Li for useful discussions on the algorithm, ...
doi:10.1016/j.commatsci.2014.10.054
fatcat:zwlrrinsird5dh3dpxb2wp4hyi
Dynamic voltage restorer-based power quality optimization using differential evolution algorithm
2019
Procedia Manufacturing
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Employing improved Differential Evolution (DE) based on Multi-Objective Parallel Operation (MOPO) due to its fast convergence and ability to give high rank to the population according to hyper-volume defined ...
optimization. ...
Multi-Objective Differential Evolution Multi-objective optimization is a procedure that minimizes or maximizes objectives that are under imposed constraints. ...
doi:10.1016/j.promfg.2019.05.081
fatcat:wywllv5pujgexjsxp6ppg7vynu
Mobile Multimedia Applications Optimization at Dynamic Data Process Level
2017
International Journal of Multimedia and Ubiquitous Engineering
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the performance of multi-objective optimization. ...
In order to better solve this problem in mobile device, the paper presents a novel optimization approach based on a hybrid evolutionary algorithm combined Differential Evolution algorithm with NSGA-II ...
In recent years, very many kind of different multi-objective evolution algorithm have been presented. ...
doi:10.14257/ijmue.2017.12.2.12
fatcat:m6qadn2lvzdh5e55bkcqkbgy5a
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