Particle swarm optimization for two-connected networks with bounded rings

The Two-Connected Network with Bounded Ring (2CNBR) problem is a network design problem addressing the connection of servers to create a survivable network with limited redirections in the event of failures. Particle Swarm Optimization (PSO) is a stochastic population-based optimization technique modeled on the social behaviour of flocking birds or schooling fish. This thesis applies PSO to the 2CNBR problem. As PSO is originally designed to handle a continuous solution space, modification of the algorithm was necessary in order to adapt it for such a highly constrained discrete combinatorial optimization problem. Presented are an indirect transcription scheme for applying PSO to such discrete optimization problems and an oscillating mechanism for averting stagnation.

The Effects of Perceived Product-Association Incongruity on Consumption Experiences

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Influence of timing of milk consumption coupled with endurance training on body composition and endurance training adaptations in humans.

Consumption of low-fat milk (LFM) after resistance training has been shown to have positive influences on body composition and training adaptations; however, little research has examined the effects of LFM consumption following endurance training. The purpose of the study was to look at the effects of combining additional servings of LFM following endurance exercise on body composition, bone health, and training adaptations. 40 healthy males were recruited. Individuals were randomized into 4 groups – DEI (750mL LFM immediately post exercise), DEA (750mL LFM 4 hrs prior to or 6 hrs post exercise), CEI (750mL carbohydrate beverage immediately post-exercise), and CEA (750mL carbohydrate beverage immediately post-exercise). Participants took part in a 12-week endurance training intervention (1 h/day, 3 d/wk, ~60% max HR). 22 participants completed the study. Analysis showed significant increases in lean mass, spinal bone mineral content, relative VO2peak, and a decrease in Trap 5β across all groups (p < 0.05).

Anticipated Guilt and Ethical Consumption: The Moderating Role of Consumers’ Socially Responsible Consumption Behaviour

Recent research in the marketing literature has indicated that, while consumers’ interests in ethical products are growing, demand for such products still remains weak. Previous research has indicated that anticipated guilt can have a positive effect on ethical consumption. Thus, the objective of the current study is to investigate the moderating role of consumers’ socially responsible consumption behaviour (SRCB) on the relationship between anticipated guilt and ethical consumption. Specifically, the current study hypothesizes that, when viewing a guilt ad, high (vs. low) SRCB individuals will generate higher, ethical purchase intentions, willingness to pay an ethical premium, and attitudes toward an ethical brand. The findings from the two experimental studies indicate that, when viewing a guilt ad for an ethical product, high SRCB individuals are willing to pay a higher ethical premium and generate more favourable brand attitudes than low SRCB individuals. However, when viewing a non-guilt ad, high SRCB individuals did not differ from low SRCB individuals in their willingness to pay an ethical premium or brand attitudes. Further, consumers’ socially conscious self-identity was explored as a mediator of these effects. By understanding the moderating role that SRCB plays in the relationship between anticipated guilt and ethical consumption, this paper intends to assist marketers in understanding for which consumers a guilt appeal is an appropriate strategy in marketing ethical products.