scholarly journals Genetic Algorithm Combination of Boolean Constraint Programming for Solving Course of Action Optimization in Influence Nets

2011 ◽  
Vol 3 (4) ◽  
pp. 1-7 ◽  
Author(s):  
Yanguang Zhu ◽  
Dongliang Qin ◽  
Yifan Zhu ◽  
Xingping Cao
Keyword(s):  
Genetic Algorithm ◽  
Constraint Programming ◽  
Course Of Action

scholarly journals A Constraint programming-based genetic algorithm for capacity output optimization

2014 ◽  
Vol 7 (5) ◽  
Author(s):  
Kate Ean Nee Goh ◽  
Jeng Feng Chin ◽  
Wei Ping Loh ◽  
Melissa Chea-Ling Tan
Keyword(s):  
Genetic Algorithm ◽  
Constraint Programming ◽  
Capacity Output

scholarly journals A Genetic Algorithm Basrd Problem Detection for Unit Commitment (UC) Problems

2019 ◽  
Vol 8 (2S3) ◽  
pp. 91-96
Keyword(s):  
Genetic Algorithm ◽  
Unit Commitment ◽  
Electrical Power ◽  
Power Source ◽  
Potential Outcomes ◽  
Course Of Action ◽  
Problem Detection

This recommendation watches out for the Unit Commitment (UC) issue, which be a notable combinatorial improvement issue climbing being made masterminding of intensity structures. In the UC issue, one wishes to structure a division of a particular system of age units with notwithstanding pick their age yield during regulate toward satisfy immensity needs by any rate cost larger than a specified instance prospect. Also, the framework should assure a great deal of mechanical along with stipulate imprisonments. The monstrous scale course of action of practical resources has starting late brought centrality up in advantageous techniques for submitting locational holds to affirm the structure against potential outcomes and the shocking and exceedingly factor shortcoming of reachable power source supply, while tending to power stream goals obliged through the broadcast make. during This paper we keep in mind frameworks designed for filing locational holds: stochastic unit determination moreover a mutt reinforce of situation manual protection-obliged willpower. This paper turns giving a recognizable assessment of the trendy method utilized in improving UC problems for each stochastic and deterministic hundreds, which has been gotten from special amigo examined dispersed papers. It has been limits into diverse factors which be a part of severa desires problem to preferred function, security, flood and time. This paper, proposes a go breed genetic algorithm is proposed to cope with the Unit Commitment (UC) problem. It need to be reminded that in the UC problem, one needs to layout a subset of a given get-cosllectively of electrical power age devices and other than

Ex ante coherence shifts

2020 ◽  
Vol 43 ◽  
Author(s):  
Dan Simon ◽  
Keith J. Holyoak
Keyword(s):  
Course Of Action ◽  
Ex Ante ◽  
Rational Reasoning

Abstract Cushman characterizes rationalization as the inverse of rational reasoning, but this distinction is psychologically questionable. Coherence-based reasoning highlights a subtler form of bidirectionality: By distorting task attributes to make one course of action appear superior to its rivals, a patina of rationality is bestowed on the choice. This mechanism drives choice and action, rather than just following in their wake.

Process Accountability as a De-Escalation Technique

2020 ◽  
Vol 19 (2) ◽  
pp. 63-74
Author(s):  
Klaus Moser ◽  
Hans-Georg Wolff ◽  
Roman Soucek
Keyword(s):  
Cognitive Processes ◽  
Information Search ◽  
Employment Relationship ◽  
Escalation Of Commitment ◽  
Tunnel Vision ◽  
Course Of Action ◽  
Performance Problems ◽  
Over Time ◽  
Biased Information

Abstract. Escalation of commitment occurs when a course of action is continued despite repeated drawbacks (e.g., maintaining an employment relationship despite severe performance problems). We analyze process accountability (PA) as a de-escalation technique that helps to discontinue a failing course of action and show how time moderates both the behavioral and cognitive processes involved: (1) Because sound decisions should be based on (hopefully unbiased) information search, which requires time to gather, the effect of PA on de-escalation increases over time. (2) Because continuing information search creates behavioral commitment, the debiasing effect of PA on information search diminishes over time. (3) Consistent with the tunnel vision notion, the effects of less biased information search on de-escalation decrease over time.

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