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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)
OBJECTIVE To assess the relation between usual nutrient intake and subsequently diagnosed age-related nuclear lens opacities. SUBJECTS Four hundred seventy-eight nondiabetic women aged 53 to 73 years from the Boston, Mass, area without previously diagnosed cataracts sampled from the Nurses' Health Study cohort. METHODS Usual nutrient intake was(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)
Particle swarm optimization (PSO) algorithms are now being practiced for more than a decade and have been extended to solve various types of optimization problems. Despite their widespread use, in this paper, we investigate standard PSO algorithms for their ability to (i) approach the optimal region and (ii) simultaneously focus in order to find the optimum(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)
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 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)