The Fifteen Puzzle—A New Approach through Hybridizing Three Heuristics Methods

Hasan, Dler O.; Aladdin, Aso M.; Talabani, Hardi Sabah; Rashid, Tarik A.; Mirjalili, Seyedali

doi:10.3390/computers12010011

Cited by 4 publications

(3 citation statements)

References 49 publications

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“…Several research studies by heuristic suggest that large-scale structural optimization, modified to evaluate several strategies pooled with programming techniques, can be used for quantitative appraisal in compliance with enforcement learning [104][105][106]. As a result, LPX might be used for evaluating time-scales in heuristic game problems such as A* or (BA*) search algorithms [107].…”

Section: Discussionmentioning

confidence: 99%

A New Lagrangian Problem Crossover—A Systematic Review and Meta-Analysis of Crossover Standards

Aladdin

Rashid

2023

Systems

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The performance of most evolutionary metaheuristic algorithms relies on various operators. The crossover operator is a standard based on population-based algorithms, which is divided into two types: application-dependent and application-independent crossover operators. In the process of optimization, these standards always help to select the best-fit point. The high efficiency of crossover operators allows engineers to minimize errors in engineering application optimization while saving time and avoiding overpricing. There are two crucial objectives behind this paper; first, we provide an overview of the crossover standards classification that has been used by researchers for solving engineering operations and problem representation. This paper proposes a novel standard crossover based on the Lagrangian Dual Function (LDF) to enhance the formulation of the Lagrangian Problem Crossover (LPX). The LPX for 100 generations of different pairs parent chromosomes is compared to Simulated Binary Crossover (SBX) standards and Blended Crossover (BX) for real-coded crossovers. Three unimodal test functions with various random values show that LPX has better performance in most cases and comparative results in other cases. Moreover, the LPB algorithm is used to compare LPX with SBX, BX, and Qubit Crossover (Qubit-X) operators to demonstrate accuracy and performance during exploitation evaluations. Finally, the proposed crossover stand operator results are demonstrated, proved, and analyzed statistically by the Wilcoxon signed-rank sum test.

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Section: Discussionmentioning

confidence: 99%

A New Lagrangian Problem Crossover—A Systematic Review and Meta-Analysis of Crossover Standards

Aladdin

Rashid

2023

Systems

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“…In computer science, it is commonly used in algorithms like the A-star search algorithm for pathfinding, where it serves as a specific heuristic function H(z) to estimate the cost of reaching a goal state. Its simplicity makes it a valuable tool for solving problems related to route planning, logistics, and optimization in grid-like settings, thereby contributing to its widespread adoption in practical applications [38][39][40].…”

Section: Manhattan Distancementioning

confidence: 99%

Optimizing Mobile Robot Navigation Based on A-Star Algorithm for Obstacle Avoidance in Smart Agriculture

Chatzisavvas,

Dossis,

Dasygenis

2024

Electronics

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The A-star algorithm (A*) is a traditional and widely used approach for route planning in various domains, including robotics and automobiles in smart agriculture. However, a notable limitation of the A-star algorithm is its tendency to generate paths that lack the desired smoothness. In response to this challenge, particularly in agricultural operations, this research endeavours to enhance the evaluation of individual nodes within the search procedure and improve the overall smoothness of the resultant path. So, to mitigate the inherent choppiness of A-star-generated paths in agriculture, this work adopts a novel approach. It introduces utilizing Bezier curves as a postprocessing step, thus refining the generated paths and imparting their smoothness. This smoothness is instrumental for real-world applications where continuous and safe motion is imperative. The outcomes of simulations conducted as part of this study affirm the efficiency of the proposed methodology. These results underscore the capability of the enhanced technique to construct smooth pathways. Furthermore, they demonstrate that the generated paths enhance the overall planning performance. However, they are also well suited for deployment in rural conditions, where navigating complex terrains with precision is a critical necessity.

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“…For this important perspective, some complex machine learning features, such as decision trees [71], long short-term memory [72] might be used to evaluate data. Furthermore, our data must be harmonically optimized to find a global solution in utilizing current optimization algorithms or neural network algorithms such as the colony predation algorithm (CPA) [73], learner performance-based behavioral algorithm (LPB) [74], fitness dependent optimizer (FDO) [75], heuristic optimization [76], etc. We make it clear that COVID-19, just as the financial crisis [77], influenced the IT field [78], the liquidity of entities [79], and banks [80] as well as the behavior of taxpayers [81,82].…”

Section: Limitations and Suggestions For Further Studiesmentioning

confidence: 99%

Perspectives on the Impact of E-Learning Pre- and Post-COVID-19 Pandemic—The Case of the Kurdistan Region of Iraq

Hasan¹,

Aladdin

Amin

et al. 2023

Sustainability

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The COVID-19 pandemic profoundly affected global patterns, and the period of the declared virus pandemic has had a negative influence on all aspects of life. This research focuses on categorizing and empirically investigating the role of digital platforms in learning and business processes during the COVID-19 pandemic outbreak. The main purpose of this paper is to investigate to what extent the use of electronic learning (EL) has been boosted by COVID-19’s spread, and EL’s effectiveness on the sustainable development of electronic commerce due to the demand for a variety of electronic devices. For this purpose, the information has been collected through an online questionnaire applied to 430 participants from the Kurdistan Region of Iraq (KRI). The results indicate that participant usage and skills with electronic devices and online software programs are increasing, as the ratio indicated a level of 68% for both genders. Thus, the significance of EL concerning electronic commercial enterprises has been openly acknowledged and influenced by numerous factors. In addition, several suggestions and steps to be undertaken by the government are highlighted. Finally, this research mentions the current limitations of EL and suggests future works to build sustainable online experiences.

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The Fifteen Puzzle—A New Approach through Hybridizing Three Heuristics Methods

Cited by 4 publications

References 49 publications

A New Lagrangian Problem Crossover—A Systematic Review and Meta-Analysis of Crossover Standards

A New Lagrangian Problem Crossover—A Systematic Review and Meta-Analysis of Crossover Standards

Optimizing Mobile Robot Navigation Based on A-Star Algorithm for Obstacle Avoidance in Smart Agriculture

Perspectives on the Impact of E-Learning Pre- and Post-COVID-19 Pandemic—The Case of the Kurdistan Region of Iraq

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