This study seeks to determine how Financial Literacy and Heuristic Behaviour influence Generation Z’s Investing Choices during the pandemic. The research sample consisted of 330 Z respondents in JABODETABEK region between ages 18 24. employs survey methodology data collection form a Google questionnaire. Using WarpPLS version 7.0 software, were manipulated. findings this indicate that has signi...

Creativity is an important element of our problem solving capabilities that involves, among others, heuristic search, reasoning, analogy, learning, and reasoning under constraints. In this paper I describe examples of computer programs capable of replicating some aspects of creative behavior in the domain of music

Different approaches have been briefly overviewed which have been used in stability of biped robots. Current implementations either mimic human behavior or use heuristic control. This paper suggests the use of modelfree crisp control in operational space configuration for better control and understanding of kino-dynamic systems and biped robots.

We present in this paper a heuristic for producing automatically a distributed fault-tolerant schedule of a given data-flow algorithm onto a given distributed architecture. The faults considered are processor failures, with a failsilent behavior. Fault-tolerance is achieved with the software redundancy of computations and the time redundancy of data-dependencies.

This book chapter describes several greedy heuristics for mapping large data-flow graphs (DFGs) onto a stripe-based coarse-grained reconfigurable fabric. These DFGs represent the behavior of an application kernel in a high-level synthesis flow to convert computer software into custom computer hardware. The first heuristic is a limited lookahead greedy approach that provides excellent run times ...

Biological brains are capable of adaptive behavior to sustain performance in tasks in the face of increasingly difficult constraints. We present a task with varying conditions of resource and time constraints. We compare our heuristic and neural network models to human data and speculate about dynamic mechanisms of action selection.

Meta-heuristic algorithms prove to be competent in outperforming deterministic algorithms for real-world optimization problems. Firefly algorithm is one such recently developed algorithm inspired by the flashing behavior of fireflies. In this work, a detailed formulation and explanation of the Firefly algorithm implementation is given. Later Firefly algorithm is verified using six unimodal engi...

In this paper we present and analyze the application of an Ant System to the Vehicle Routing Problem with Backhauls and Time Windows (VRPBTW). At the core of the algorithm we use an Insertion procedure to construct solutions. We provide results on the learning and runtime behavior of the algorithm as well as a comparison with a custom made heuristic for the problem.

The ability to correctly predict conditional branch behavior at compilation time enables compilers to protably apply code optimizations as well as to improve code layout and achieve a better schedule by increasing instruction level parallelism. Prole-based static prediction produces accurate predictions but requires programmer intervention. Analternativeis to applystatic(i.e., heuristic-based)b...

In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...