We study the societal tradeoffs problem, where a set of voters each submit their ideal tradeoff value between each pair of activities (e.g., “using a gallon of gasoline is as bad as creating 2 bags of landfill trash”), and these are then aggregated into the societal tradeoff vector using a rule. We introduce the family of distance-based rules and show that these can be justified as maximum like...

Memetic algorithms (MAs) are meta-heuristics that join genetic algorithms with hill climbing. MAs have recognized success in solving difficult search and optimization problems. Hyperheuristics are proposed as an alternative to meta-heuristics. A hyperheuristic is a mechanism that chooses a heuristic from a set of heuristics, applies it to a candidate solution, and then makes a decision for acce...

In this study, we developed an appropriate calorie tracking algorithm for children and compared it with the current commercial product. The results of the developed algorithm showed 94.2% accuracy in the classification of intermittent activities: sitting down, standing up, turning around and jumping; and 92.9% accuracy in the classification of continuous activities: walking, running, stair clim...

Step is a common physical activity which can have positive or negative influence on human movement system. Every step aerobics session involves a large number of loading cycles and if volume and intensity of the training are too high they may cause overloads or injuries [1]. The loads in step aerobics depend on movement technique [2], stepping ratemusic tempo [3], step height [4], damping prope...

Abstract In the present scenario the application of robots is quite common to reduce the human effort in several areas. The stair climbing robots are used to climb the stairs for different applications up to now, but the main disadvantage of the rugged terrain robots is not adjustable according to the structure of the stairs. To overcome this, we have developed an adjustable stair climbing robo...

The purpose of this study is to investigate the kinematics in humans during stair climbing and the influence of stair slope variation on gait cycle .The analysis of biomechanical aspect involved in stair ascent and descent can add to our understanding of the diverse and complicated processes involved in human locomotion and also be useful in the design of private and public environments where s...

We discuss the relationships between three approaches to greedy heuristic search: best-first, hill-climbing, and beam search. We consider the design decisions within each family and point out their oft-overlooked similarities. We consider the following best-first searches: weighted A*, greedy search,

Mechanisms design has traditionally been a manual endeavor. In 2002, Conitzer and Sandholm introduced the automated mechanism design (AMD) approach, where the mechanism is computationally created for the specific problem instance at hand. This has several advantages: 1) it can yield better mechanisms than the ones known to date, 2) it applies beyond the problem classes studied manually to date,...

We introduce a non-admissible heuristic for planning with action costs, called the set-additive heuristic, that combines the benefits of the additive heuristic used in the HSP planner and the relaxed plan heuristic used in FF. The set-additive heuristic ha is defined mathematically and handles non-uniform action costs like the additive heuristic ha, and yet like FF’s heuristic hFF, it encodes t...