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con dence a particle has in itself, while c2 expresses how much con dence a particle has in its neighbors With c1 = c2 = 0, particles keep ying at their current speed until they hit a boundary of the search space (assuming no inertia) If c1 > 0 and c2 = 0, all particles are independent hill-climbers Each particle nds the best position in its neighborhood by replacing the current best position if the new position is better Particles perform a local search On the other hand, if c2 > 0 and c1 = 0, the entire swarm is attracted to a single point, y The swarm turns into one stochastic hill-climber Particles draw their strength from their cooperative nature, and are most e ective when nostalgia (c1 ) and envy (c2 ) coexist in a good balance, ie c1 c2 If c1 = c2 , particles are attracted towards the average of yi and y [863, 870] While most applications use c1 = c2 , the ratio between these constants is problemdependent If c1 >> c2 , each particle is much more attracted to its own personal best position, resulting in excessive wandering On the other hand, if c2 >> c1 , particles are more strongly attracted to the global best position, causing particles to rush prematurely towards optima For unimodal problems with a smooth search space, a larger social component will be e cient, while rough multi-modal search spaces may nd a larger cognitive component more advantageous Low values for c1 and c2 result in smooth particle trajectories, allowing particles to roam far from good regions to explore before being pulled back towards good regions High values cause more acceleration, with abrupt movement towards or past good regions Usually, c1 and c2 are static, with their optimized values being found empirically Wrong initialization of c1 and c2 may result in divergent or cyclic behavior [863, 870] Clerc [134] proposed a scheme for adaptive acceleration coe cients, assuming the social velocity model (refer to Section 1635): c2 (t) = c2,max c2,min e mi (t) 1 c2,min + c2,max + + m (t) 2 2 e i +1 (1635).

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dolls in a standard 40 hour work week, which entitles her to pay of $24000 (320 dolls $075 piece rate) The worker then labors an extra five hours, and produces an additional 42 dolls To calculate her pay for this extra time period, her employer first calculates her regular piece-rate pay, which is $3150 (40 dolls $075 piece rate) The employer then calculates the overtime due by calculating the standard wage rate during the regular period, which was $600 per hour ($24000 total pay divided by 40 hours), resulting in a premium of $300 per hour The employee s overtime pay is therefore $1500 ($300 overtime premium five hours) The employer could also have simply set the piece rate 50 percent higher for work performed during the overtime period, which would have been $113 ($075 15) In this example, the higher piece rate would have resulted in a slightly higher payment to the employee, since the person produced slightly more than the standard number of dolls during the period

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The easier and faster it is for you to answer questions and make decisions, the greater your capacity to optimize enterprise performance That is a critical element of the smart data focused strategy However, to optimally manage performance, the executive must be able to identify deviations and improvement opportunities by interpreting indications and drilling down to root causes That is particularly the case for mature requirements and demands To accomplish this you need a framework, methods, and algorithms upon which you can depend with con dence, and which we advocate be de ned through the smart data strategy Responsibility to lead and to see ahead, to accurately anticipate the future, and to formulate vision rests with senior leadership In both instances, managing the operation and envisioning the future require actionable data and analytical support While ultimate decisions rest at the top, end user customers and employees are major contributors Moving data from them in an actionable state to that of the executive is a deliberate engineering challenge MIXXcom CEO Chris McGill says that sifters are needed to help cull the data, referring to application of his social media service to help accomplish this On April 19, 2009, the Washington Post headline [1] is Obama Picks Technology and Performance Of cers Aneesh Chopra is the nation s rst Chief Technology Of cer (CTO) Jeffrey Zients is the Chief Performance Of cer (CPO) The Chief Information Of cer is Vivek Kundra Signi cant is the fact that there are three positions Technology, Performance and Information and that they are expected to collaborate, in our words to help optimize enterprise performance They do this not as operations executives managing complex bureaucracies, but by providing leadership and expert direction and input to the president and to the cabinet secretaries Can we assume that the CPO will be a performance analyst, examining government operations to seek out improvement opportunities Can we assume that the CTO will be evaluating and improving the technology underpinning that spans the spectrum of research beginning in a discovery mode to identify strategic technologies that will not only optimize government enterprise but will energize the economy Can we assume that and the CIO will focus on hardware and software systems that enable all aspects of government to optimize performance, by leveraging the best information technologies Those are our assumptions According to the Department of Labor is Occupational Outlook Handbook 2008 2009, chief technology of cers (CTOs), for example, evaluate the newest and most innovative technologies and determine how these can help their organizations The chief technology of cer often reports to the organization s chief information of cer, manages and plans technical standards, and tends to the daily information technology issues of the rm (Chief information of cers are covered in a separate Handbook statement on top executives) Because of the rapid pace of technological change, chief technology of cers must constantly be on the lookout for developments that could bene t their organizations Once a useful tool has been identi ed, the CTO must determine an implementation strategy and sell that strategy to management.

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