In an electricity market, every generation company (GENCO) attempts to maximize profit according to other participants bidding behaviors and power systems operating conditions. The goal of this study is to examine the optimal bidding strategy problem for GENCOs in energy and spinning reserve markets based on a hybrid GA-heuristic optimization algorithm. The heuristic optimization algorithm used...

Although autonomous mobile robots have become more commonplace, methods for them to navigate in the real-world are not yet perfected. This survey describes two heuristic-based approaches, metaheuristics and cognitive models, that have been used in this domain under separate but concurrent development. Metaheuristics are broadly-applicable, heuristic-based algorithms inspired by natural processe...

having knowledge about behavioral biases, investors are able to evaluate their decision process with more awareness and they can react much better when facing such biases, as a result decisions deviation will be minimized. in this study, 36 different behavioral biases have been categorized into 5 different groups to normalize the effective behavioral biases in the process of decision making of ...

Heat waves pose serious health risks, and are expected to become more frequent, longer lasting, and more intense in the future under a changing climate. Yet, people in the UK seem to feel positive when thinking about hot weather. According to research on the affect heuristic, any positive or negative emotions evoked by potentially risky experiences may be used as cues to inform concerns about r...

User behaviors in social networks are microscopic with fine grained temporal information. Predicting a macroscopic quantity based on users’ collective behaviors is an important problem. However, existing works are mainly problem-specific models for the microscopic behaviors and typically design approximations or heuristic algorithms to compute the macroscopic quantity. In this paper, we propose...

Heuristic techniques are optimization methods that inspired by nature. Although there many heuristics in the literature, a new heuristic technique is presented researchers every day observing nature-based or living behaviors In this study, human behavior proposed. order to prove validity of method called Search and Rescue Optimization Algorithm (AKOA), applied find global minimums function test...

This paper addresses two questions about computational innovative design: (1) How can a computer program recognize a good analogue for innovative design?, and (2) How can it eeciently nd one, once it knows how to recognize it? We answer question 1 by presenting a heuristic mapping engine that evaluates a candidate analogy based on features of the mappings between the devices' structures, behavi...