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The Emory mouse is the best model for age-related cataract. In this work we compare the effects of feeding a control diet (C) with a diet restricted (R) by 40% relative to C animals. In the R animals, median lifespan was extended by 40%. The proportion of R mice with advanced cataract was lower than C mice as early as 5 months of age. The mean grade of(More)
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective optimization, this paper studies two aspects of PSO: (i) its ability to approach an 'optimal basin', and (ii) to find the optimum with high precision once it enters the region. of(More)
In a population of 188 nondiabetic patients with early cataracts or nuclear brunescence, we assessed the degree to which contrast sensitivity function (CSF) provided more information about a patient's visual disability than high contrast visual acuity measurements. Data collected included LOCS II cataract classification, Bailey-Lovie visual acuity (LogMAR(More)
Over past few years, several successful proposals for handling multi-objective optimization tasks using particle swarm optimization (PSO) have been made, such methods are popularly known as Multi-objective Particle Swarm Optimization (MOPSO). Many of these methods have focused on improving characteristics like convergence, diversity and computational times(More)
In this paper, a multi-objective particle swarm optimization approach (popularly known as MOPSO) for topology optimization of compliant mechanism is proposed. Multi-objective strategy has a great advantage, over other single objective approaches, in finding a well distributed set of non-dominated solutions in a single run which makes post-processing and(More)
Interplanetary trajectory optimization studies mostly considered a single objective of minimizing the travel time between two planets or the launch velocity of spacecraft at the departure planet. In this paper, we have considered a simultaneous minimization study of both launch velocity and time of travel between two specified planets with and without the(More)
In recent years, Particle Swarm Optimization (PSO) methods have gained popularity in solving single objective and other optimization tasks. In particular, solving constrained optimization problems using swarm methods has been attempted in past but arguably stays as one of the challenging issues. A commonly encountered situation is one in which constraints(More)