Progressive Differential Evolution on Clustering Real World Problems

2016 ◽  
pp. 71-82 ◽  
Author(s):  
Vincent Berthier
Keyword(s):  
Differential Evolution ◽  
Real World ◽  
Real World Problems

A Hybrid Differential Evolution Algorithm for Real World Problems

2018 ◽  
Author(s):  
Mokhtar Essaid ◽  
Lhassane Idoumghar ◽  
Julien Lepagnot ◽  
Mathieu Brevilliers ◽  
Daniel Foderean
Keyword(s):  
Differential Evolution ◽  
Real World ◽  
Differential Evolution Algorithm ◽  
Evolution Algorithm ◽  
Real World Problems

scholarly journals Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems

2022 ◽  
Author(s):  
Hongliang Zhang ◽  
Tong Liu ◽  
Xiaojia Ye ◽  
Ali Asghar Heidari ◽  
Guoxi Liang ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Real World ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm ◽  
Real World Problems

scholarly journals Nature-Inspired Algorithms in Real-World Optimization Problems

MENDEL ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 7-14 ◽  
Author(s):  
Petr Bujok ◽  
Josef Tvrdik ◽  
Radka Polakova
Keyword(s):  
Differential Evolution ◽  
Real World ◽  
Optimization Problems ◽  
Random Search ◽  
The Other ◽  
Test Problems ◽  
Strong Argument ◽  
Nature Inspired Algorithms ◽  
New Algorithms ◽  
Real World Problems

Eight popular nature inspired algorithms are compared with the blind random search and three advanced adaptive variants of differential evolution (DE) on real-world problems benchmark collected for CEC 2011 algorithms competition. The results show the good performance of the adaptive DE variants and their superiority over the other algorithms in the test problems. Some of the nature-inspired algorithms perform even worse that the blind random search in some problems. This is a strong argument for recommendation for application, where well-verified algorithm successful in competitions should be preferred instead of developing some new algorithms.

Hybrid parameter adaptation strategy for differential evolution to solve real-world problems

2019 ◽  
Author(s):  
Mokhtar Essaid ◽  
Mathieu Brevilliers ◽  
Julien Lepagnot ◽  
Lhassane Idoumghar ◽  
Daniel Fodorean
Keyword(s):  
Differential Evolution ◽  
Real World ◽  
Adaptation Strategy ◽  
Parameter Adaptation ◽  
Real World Problems

scholarly journals Handrails through the Swamp? A Pilot to Test the Integration and Implementation Science Framework in Complex Real-World Research

2021 ◽  
Vol 13 (10) ◽  
pp. 5491
Author(s):  
Melissa Robson-Williams ◽  
Bruce Small ◽  
Roger Robson-Williams ◽  
Nick Kirk
Keyword(s):  
Pilot Study ◽  
Case Studies ◽  
Implementation Science ◽  
Real World ◽  
Environmental Problems ◽  
Environmental Research ◽  
Integrative Framework ◽  
The World ◽  
Science Framework ◽  
Real World Problems

The socio-environmental challenges the world faces are ‘swamps’: situations that are messy, complex, and uncertain. The aim of this paper is to help disciplinary scientists navigate these swamps. To achieve this, the paper evaluates an integrative framework designed for researching complex real-world problems, the Integration and Implementation Science (i2S) framework. As a pilot study, we examine seven inter and transdisciplinary agri-environmental case studies against the concepts presented in the i2S framework, and we hypothesise that considering concepts in the i2S framework during the planning and delivery of agri-environmental research will increase the usefulness of the research for next users. We found that for the types of complex, real-world research done in the case studies, increasing attention to the i2S dimensions correlated with increased usefulness for the end users. We conclude that using the i2S framework could provide handrails for researchers, to help them navigate the swamps when engaging with the complexity of socio-environmental problems.

scholarly journals Combined Games with Randomly Delayed Beginnings

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 534
Author(s):  
F. Thomas Bruss
Keyword(s):  
Discrete Time ◽  
Real World ◽  
Optimal Stopping ◽  
Random Variables ◽  
Approximate Solutions ◽  
Real World Problems

This paper presents two-person games involving optimal stopping. As far as we are aware, the type of problems we study are new. We confine our interest to such games in discrete time. Two players are to chose, with randomised choice-priority, between two games G1 and G2. Each game consists of two parts with well-defined targets. Each part consists of a sequence of random variables which determines when the decisive part of the game will begin. In each game, the horizon is bounded, and if the two parts are not finished within the horizon, the game is lost by definition. Otherwise the decisive part begins, on which each player is entitled to apply their or her strategy to reach the second target. If only one player achieves the two targets, this player is the winner. If both win or both lose, the outcome is seen as “deuce”. We motivate the interest of such problems in the context of real-world problems. A few representative problems are solved in detail. The main objective of this article is to serve as a preliminary manual to guide through possible approaches and to discuss under which circumstances we can obtain solutions, or approximate solutions.

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