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Competitive Strategies for Differential Evolution

Jun Yu, Yan Pei, Hideyuki Takagi
2018 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
We introduce two competitive strategies into conventional differential evolution (DE) to speed up its convergence by increasing competitive pressures among individuals and evaluate the proposals.  ...  The first strategy gives individuals with better fitness a higher opportunity for generating more offsprings, while conventional DE allows each parent individual to generate only one offspring individual  ...  Abstract-We introduce two competitive strategies into conventional differential evolution (DE) to speed up its convergence by increasing competitive pressures among individuals and evaluate the proposals  ... 
doi:10.1109/smc.2018.00056 dblp:conf/smc/YuPT18 fatcat:uxjjyflmu5f67md2qcirkqhtzq

Differential Evolution Algorithm with Hierarchical Fair Competition Model

Amit Ramesh Khaparde, Fawaz Alassery, Arvind Kumar, Youseef Alotaibi, Osamah Ibrahim Khalaf, Sofia Pillai, Saleh Alghamdi
2022 Intelligent Automation and Soft Computing  
During evolution, the population members are allowed to move within the hierarchy levels. The standard differential evolution algorithm is used for population evolution.  ...  competition model in differential evolution algorithm without replacement, I,e, HFCDE-wR.  ...  Acknowledgement: We deeply acknowledge Taif University for supporting this study through Taif University Researchers Supporting Project Number (TURSP-2020/150), Taif University, Taif, Saudi Arabia.  ... 
doi:10.32604/iasc.2022.023270 fatcat:cua75vvfd5fxnl3poeti6khwzq

Authors

2021 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)  
Power System R Conquer Strategy for Warehouse Resource Allocation 6 Deep Learning for Self-Tuning of Control Systems Multi-Objective Differential Evolution with Unbalanced Divide-And-141 GSA Based PID  ...  Emotional Entrapment of Children on Social Media Multi-Objective Differential Evolution with Unbalanced Divide-And-Conquer Strategy for Warehouse Resource Allocation Support for Interview Preparation with  ... 
doi:10.1109/icetci51973.2021.9574080 fatcat:t5toutgsh5dlxhrv36nba3dvji

Phenotypic Heterogeneity and the Evolution of Bacterial Life Cycles

Jordi van Gestel, Martin A. Nowak, Claus O. Wilke
2016 PLoS Computational Biology  
Surfaces are shown for independent simulations at different relative cell division rates of sticky cells (R) and for the three differentiation strategies (see Fig 1) .  ...  We study the evolution of cell differentiation in the context of surface colonization. We particularly focus on the evolution of a 'sticky' cell type that is needed for surface attachment.  ...  We thank Daniel López and Daniel Kearns for kindly sharing their lab strains.  ... 
doi:10.1371/journal.pcbi.1004764 pmid:26894881 pmcid:PMC4760940 fatcat:hgotfpszm5c3thlabust6vbpgm

Optimal competition strategy analysis of China Railway Express based on evolutionary game theory

Fenling Feng, Xiaojie Li, Junkai Liang, Yang Liu, Chengguang Liu, Bing Xue
2022 PLoS ONE  
Therefore, transportation service suppliers should make competitive strategies based on different good types, and it is effective to use differentiation strategies to earn market share and improve competitiveness  ...  Determining how to achieve effective marking and determining how to adopt the optimal competitive strategy are the main challenges for CR Express operators.  ...  Li Sinclair for his advice with word analysis.  ... 
doi:10.1371/journal.pone.0256326 pmid:35302993 pmcid:PMC8932592 fatcat:fxp4rwqgabg4rbuqyl5zcg7lne

Simultaneous evolution of competitiveness and defense: induced switching in Arabis drummondii

Tessa Jones, Shannon Kulseth, Karl Mechtenberg, Charles Jorgenson, Michael Zehfus, Paul Brown, David H. Siemens
2005 Plant Ecology  
Two closely related and differentially competitive congeners were compared for levels of resistance, tolerance, and secondary metabolite production.  ...  A competitive function for defenses may be why defenses were affected by competition.  ...  Two closely related and differentially competitive congeners were compared for levels of resistance, tolerance, and secondary metabolite production.  ... 
doi:10.1007/s11258-005-9070-7 fatcat:jtmpeh46krfgzizsmcewmx4nry

Profit Maximization a nd Optimal Bidding Strategies of Gencos in Electicity Markets using Self Adaptive Differential Evolution

B Rampriya
2016 International Journal on Electrical Engineering and Informatics  
This paper presents the solution for the suppliers' aims to achieve profit more than the rivals participating in the competition.  ...  The supplier (decision maker) optimization problem is formulated and their bid quantities are optimized using Self adaptive Differential Evolution (SaDE).  ...  Evolution (SaDE) algorithm can automatically adapt the learning strategies settings during evolution.  ... 
doi:10.15676/ijeei.2016.8.4.4 fatcat:mtgejxyhifekpgvmk7iua7sxxa

Competitive Generic Strategies Evolution and the Importance of Michael E. Porter

Edison Fernandes Polo, Wilson Weber
2010 REGE Revista de Gestão  
Porter"s book Competitive Strategy, the generic strategies of Differentiation, Leadership in Total Cost and Focus have been used in whole or in part, in various approaches, accelerating dissemination of  ...  Desde sua publicação em 1980, como parte do livro Competitive Strategy, de Michael E.  ...  COMPETITIVE GENERIC STRATEGIES -APPLICATIONS AND EVOLUTION A sustainable competitive advantage is what ensures the above-average performance for long periods.  ... 
doi:10.5700/rege389 fatcat:wwu4mcnyubhobkc47yuo7x6ny4

An Improved Differential Evolution Algorithm for Solving High Dimensional Optimization Problem

Chunfeng Song, Yuanbin Hou
2015 International Journal of Hybrid Information Technology  
, an improved differential evolution algorithm with multi-population and multi-strategy(MPMSIDE) is proposed to solve high dimensional optimization problem.  ...  In order to improve the weak situation of the global search ability, the stability and time consuming of optimization of differential evolution(DE) algorithm in solving high dimensional optimization problem  ...  ACKNOWLEDGEMENTS This research was supported by the Youth Science Foundation (51405381) and the Special Foundation for Scientists of Xi'an university of science and technology (201314). References  ... 
doi:10.14257/ijhit.2015.8.10.16 fatcat:ntnugoyok5arvpdvzxnjxyvgdy

Dynamic Bandwidth Allocation under Uncertainty in Cognitive Radio Networks

Kun Zhu, D. Niyato, Ping Wang
2011 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011  
At the upper level, a bandwidth allocation stochastic differential game is formulated to model the competition among different service providers.  ...  In such networks, the secondary users compete for bandwidth resources and the service providers compete for users access (e.g., subscription).  ...  For each of the M providers, the maximization of expected profit under dynamic competition becomes a stochastic optimal control problem subject to the constraints (e.g., disturbed state evolution differential  ... 
doi:10.1109/glocom.2011.6133750 dblp:conf/globecom/ZhuNW11 fatcat:vgi5itgabfcuphv3nybusxy6rq

New Variants of Adaptive Differential Evolution Algorithm with Competing Strategies

Petr Bujok, Josef Tvrdík
2015 Acta Electrotechnica et Informatica  
New variants of the adaptive competitive differential evolution algorithm are proposed and tested experimentally on the CEC 2013 test suite.  ...  In the new variants, the adaptation is based on the competition of several strategies.  ...  Differential evolution algorithm with strategy adaptation for global numerical optimization.  ... 
doi:10.15546/aeei-2015-0018 fatcat:ic6nrwgrgfe2jhpgk7cxjvrocu

Page 331 of Journal of Contemporary Criminal Justice Vol. 28, Issue 3 [page]

2012 Journal of Contemporary Criminal Justice  
The sex-specific strategies are not differentiated randomly; rather, the strategies are based on the discriminatory preferences for mates of the opposite sex.  ...  Whereas, intersexual competition refers to strategies related to the differential or dis- criminative mate choice by one sex of the opposite sex (Mealey, 2000; Trivers, 1972).  ... 

The strategy of survival for a competition between normal and anomalous diffusion [article]

Moein Khalighi, Jamshid Ardalankia, Abbas Karimi Rizi, Haleh Ebadi, Gholamreza Jafari
2020 arXiv   pre-print
In this paper, we study the competition of two diffusion processes for achieving the maximum possible diffusion in an area.  ...  But, the question is: what characteristics and strategies should the second diffusion include to prolong the survival in such a competition?  ...  Hence, we consider memory effects only for the evolution of the weaker competitor, I 2 .  ... 
arXiv:1908.03076v3 fatcat:hokaj72dizgwrj5d7jvuc5ulga

A Survey on Metaheuristics for Solving Large Scale Optimization Problems

Atinesh Singh, Nanda Dulal
2017 International Journal of Computer Applications  
Broadly these algorithms can be categorized in 3 groups: Standard Evolutionary Algorithms, Cooperative Co-evolution (CC) based Evolutionary Algorithms and Memetic Algorithms.  ...  This paper gives a brief introduction of some state-of-the-art Metaheuristics used in the field of LSGO, discusses their performance in CEC Competition on LSGO and finally, future scope in this field is  ...  In past decades, several Metaheuristics such as Differential Evolution (DE), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Evolution Strategy (ES), etc have been modified to tackle  ... 
doi:10.5120/ijca2017914839 fatcat:2lhciqf4lbgetpyeouf5xykps4

A classification model base on Differential Evolution algorithm

Zhehuang Huang
2013 IOSR Journal of Engineering  
In this paper we proposed a classification model base on differential evolution algorithm. The proposed model provides a good practicability and promising future for pattern identification.  ...  Differential evolution algorithm is a heuristic global optimization technique based on population which is easy to understand and implement.  ...  According to the crossover strategy, the old Selection operation Selection operation is greedy strategy, the candidate individual generated from mutation and crossover operation competition with target  ... 
doi:10.9790/3021-03621921 fatcat:6audl4su25dyfiqntgpeka5pbe
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