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Algorithm 1612 Multi-start Particle Swarm Optimization; y is the best solution over all the restarts of the algorithm Create and initialize an nx -dimensional swarm, S; repeat if f (S ) < f ( ) then y y y = S ; y end if the swarm S has converged then Reinitialize all particles; end for each particle i = 1, , Sns do if f (Sxi ) < f (Syi ) then Syi = Sx; end y if f (Syi ) < f (S ) then S = Syi ; y end end Update velocities; Update position; until stopping condition is true; Re ne y using local search; Return y as the solution;

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Under penalties of perjury, I declare that I have examined this return, including accompanying schedules and statements, and to the best of my knowledge and belief, it is true, correct, and complete

The acceleration determines the magnitude of inter-particle repulsion, de ned as [75]

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outputs are sent on to other users in the community some of which are end users while others will employ the data as input into their own processes The purchase, lease, and use of data falls under constraints and agreements whereby there is consideration monetary value exchanged for use either explicitly or implicitly As an enterprise executive, you must know your data assets, as that is what you must protect, and it is the collateral for which you receive revenue or bene t You must know the data on which your enterprise performance is dependent You must know about the sources of data You must understand that you may in uence the sources of data such that the data you receive is optimally engineered for your use Likewise, you must know where your data outputs are headed You must be concerned about how well your outputs satisfy the needs of the user community Of parallel importance is to know where and how data are applied to support

ai (t) =

(2003)

ail (t)

(1687)

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A prerequisite is to know enterprise processes and how data feed processes, and how processes produce data A part of describing or modeling processes is de ning and accounting for business rules as constraints Conversely, executives need to identify what data is needed to optimize enterprise performance As Gertrude Stein might have put it, What is the answer What is the question Understanding data is dependent on semantics (meaning) and syntax (format) that manifest in lexicons (vocabulary), data dictionaries (reference books), and ontologies (organization of knowledge) In a complex enterprise, associated with data are functional pro les That is, your data has certain attributes that affect associated costs of access, storage, processing, publishing, and usage The data attribute pro les have direct bearing on your own internal costs as well as having impact on the aggregate enterprise performance where you are a part of something larger There remains a clear eld for accountants to think about how to ensure that aggregate bene ts are distributed among the community, and how those that introduce excess costs pay for their de ciencies as the expense is born by the source and by users Exiting the disaster of 2008 and the Bush era, US business must reestablish credibility, trust, and integrity, as must the government Stimulus from government spending is intended to buy time for commercial enterprise to regain footing, although such cannot begin until the banking, nance, and lending system is reengineered to a suitable international standard that is under development simultaneously with the x

its employees to the total amount of gross receipts for the business Ideally, the two percentages should match If the latter percentage is lower, this indicates that employees are not reporting all of their tip income If this appears to be a problem, the business owner can call the IRS at 800-829-1040 or search for Voluntary

with the repulsion force between particles i and l de ned as Qi Ql ||xi (t) xl (t)||3 (xi (t) xl (t)) if Rc ||xi (t) xl (t)|| Rp Qi Ql (xi (t) xl (t)) ail (t) = if ||xi (t) xl (t)|| < Rc 2 Rc ||xi (t) xl (t)|| 0 if ||xi (t) xl (t)|| > Rp

(1688)

Compensation / 107

where Qi is the charged magnitude of particle i, Rc is referred to as the core radius, and Rp is the perception limit of each particle Neutral particles have a zero charged magnitude, ie Qi = 0 Only when Qi = 0 are particles charged, and do particles repel from each other Therefore, the standard PSO is a special case of the charged PSO with Qi = 0 for all particles Particle avoidance (inter-particle repulsion) occurs only when the separation between two particles is within the range [Rc , Rp ] In this case the smaller the separation, the larger the repulsion between the corresponding particles If the separation between two particles becomes very small, the acceleration will explode to large values The consequence will be that the particles never converge due to extremely large repulsion forces To

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