This paper firstly presents a novel constraint-handling technique , called dynamicobjective method (DOM), based on the search mechanism of the particles of particle swarm optimization (PSO). DOM converts the constrained optimization problem into a bi-objective optimization problem, and then enables each particle to dynamically adjust its objectives according to its current position in the searc...

This paper presents a new methodology to solve multi-response statistical optimization problems. This methodology integrates desirability function and simulation approach with a genetic algorithm. The desirability function is responsible for modeling the multi-response statistical problem, the simulation approach generates required input data from a simulated system, and finally the genetic alg...

there are many real problems in which multiple responses should be optimized simultaneously by setting of process variables. one of the common approaches for optimization of multi-response problems is desirability function. in most real cases, there is a correlation structure between responses so ignoring the correlation may lead to mistake results. hence, in this paper a robust approach based ...

Cross-site scripting (XSS) vulnerabilities are the most frequently reported web application vulnerability. As complex JavaScript applications become more widespread, DOM (Document Object Model) XSS vulnerabilities—a type of XSS vulnerability where the vulnerability is located in client-side JavaScript, rather than server-side code—are becoming more common. As the first contribution of this work...

Submit Manuscript | http://medcraveonline.com Abbreviations: PAI: Personality Assessment Inventory; CCE: Child Custody Evaluation; MMPI-2: Minnesota Multiphasic Personality Inventory-2; MMPI-2-RF: Minnesota Multiphasic Personality Inventory-2-Restructured Form; MCMI-III: Millon Clinical Multiaxial Inventory-Third Edition; PIM: Positive Impression Management; DOM: Dominance; WRM: Warmth; NEOPI: ...

response surface methodology is a common tool in optimizing processes. it mainly concerns situations when there is only one response of interest. however, many designed experiments often involve simultaneous optimization of several quality characteristics. this is called a multiresponse surface optimization problem. a common approach in dealing with these problems is to apply desirability funct...