ANSWERS 1 UNIT 1: PROBLEM SOLVING 1 UNDERSTANDING ALGORITHMS ACTIVITY 1 There is no single correct solution to this activity, since every student's walk to school will be unique. It is intended to highlight the need for instructions to be specific, precise and i...
As in solving any probability problem, a good first step is to think about the sample space. Specifying the sample space Instead of using dates, for simplicity let’s label the birthdays with the numbers 1 through 365. For example, 1 is January 1st, 2 is January 2nd, 365 is December 31...
To investigate the impact of different search strategies on group performance in collective problem-solving, this study conducted simulation experiments using problem spaces with distinct features: a 4-peak problem space (as depicted in Figure 1a), an 11-peak problem space (Figure 1b), and a 16...
To investigate the impact of different search strategies on group performance in collective problem-solving, this study conducted simulation experiments using problem spaces with distinct features: a 4-peak problem space (as depicted in Figure 1a), an 11-peak problem space (Figure 1b), and a 16...
However, solving these sub-problems with the ASUPM methods would be computationally inefficient because the duplicated data would result in exploring repeated neighborhoods. Different real-world applications can be found in the industry and services. The model could be applied in any process where a ...
However, solving these sub-problems with the ASUPM methods would be computationally inefficient because the duplicated data would result in exploring repeated neighborhoods. Different real-world applications can be found in the industry and services. The model could be applied in any process where a ...
Modeling and simulations are implemented in Python using the Gurobi optimization solver. Keywords: photovoltaic; net-metering model; prosumer model; feed-in tariff model; optimal PV power; renewable energy sources; optimization; Python; Gurobi