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De ciencies and omissions from government and commercial data strategy Advances in commercial enabling technology with gaps in application and implementation Continuous investment in information technology on a large scale Increasing pressure on government and private enterprise for better use of scarce resources as invested in information technology Improved commercial-off-the-shelf technologies that can accelerate adoption of smart data strategy Requirements for management and technical training

165 Single-Solution Particle Swarm Optimization Algorithm 166 Global Best Spawning Algorithm if y(t) is in a potential minimum then repeat y = y(t); for NumberOfSpawns=1 to 10 do for a = 1 to NumberOfSpawns do ya = y(t) + N (0, ); y if f ( a ) < f ( ) then y y = ya ; end end end until f ( ) f ( (t)); y y y(t) = y; end

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L vberg et al [534, 536] used an arithmetic crossover operator to produce o spring from two randomly selected particles Assume that particles a and b are selected for crossover The corresponding positions, xa (t) and xb (t) are then replaced by the o spring, xi1 (t + 1) xi2 (t + 1) = r(t)xi1 (t) + (1 r(t))xi2 (t) = r(t)xi2 (t) + (1 r(t))xi1 (t) vi1 (t) + vi2 (t) ||vi1 (t)|| ||vi1 (t) + vi2 (t)|| vi1 (t) + vi2 (t) ||vi2 (t)|| ||vi1 (t) + vi2 (t)|| (1661) (1662)

Employers may ask employees to move to a different company location If the employer pays a third party or reimburses the moving employee for actual costs incurred, there is no reportable income to the employee This only applies if the employee s new workplace is at least 50 miles further from his/her residence than the old workplace, and the employee must work out of the new location for at least 39 weeks during the 12-month period following the move Otherwise, the move transaction will have the appearance of being a simple compensation by the employer of the employee, who happens to use the funds to move to a new location while still working at the same place of work

with the corresponding velocities, vi1 (t + 1) vi2 (t + 1) = = (1663) (1664)

A survey of Amazoncom and other publication sources show the same publication titles appear when searching data strategy and enterprise integration with some notable attention to the subject as envisioned in Adaptive Information by Jeffrey T Pollock and Ralph Hodgson Pollock also worked on a government program where his concepts were applied to enterprise services and security architecture development for a major weapon systems program This landmark publication is a technical foundation on which the complementary smart data strategy presented here is advanced Current publications are leveraged here by positioning and differentiating beyond the current literature so

Compensation / 101

where r1 (t) U (0, 1)nx The personal best position of an o spring is initialized to its current position That is, if particle i1 was involved in the crossover, then yi1 (t + 1) = xi1 (t + 1) Particles are selected for breeding at a user-speci ed breeding probability Given that this probability is less than one, not all of the particles will be replaced by o spring It is also possible that the same particle will be involved in the crossover operation more than once per iteration Particles are randomly selected as parents, not on the basis of their tness This prevents the best particles from dominating the breeding process If the best particles were allowed to dominate, the diversity of the swarm would decrease signi cantly, causing premature convergence It was found empirically that a low breeding probability of 02 provides good results [536] The breeding process is done for each iteration after the velocity and position updates have been done The breeding mechanism proposed by L vberg et al has the disadvantage that parent particles are replaced even if the o spring is worse o in tness Also, if f (xi1 (t+1)) >

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