iSOMA swarm intelligence algorithm in synthesis of quantum computing circuits

Article Computer Science, Artificial Intelligence

Self-Organizing Migrating Algorithm with narrowing search space strategy for robot path planning

Quoc Bao Diep et al.

Summary: This article introduces an improved version of the Self-Organizing Migrating Algorithm named iSOMA and evaluates its performance. The iSOMA algorithm shows notable improvements compared to previous versions and achieves excellent results in multiple benchmark tests. Additionally, the article demonstrates the application of iSOMA in drone path planning.

APPLIED SOFT COMPUTING (2022)

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Article Multidisciplinary Sciences

Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm

Essam H. Houssein et al.

Summary: This study utilizes an adaptive guided differential evolution algorithm (AGDE) to enhance quantum cloning circuit parameters, with experimental results demonstrating the superior performance of AGDE compared to other meta-heuristics in terms of fidelity improvement.

JOURNAL OF ADVANCED RESEARCH (2021)

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Article Computer Science, Artificial Intelligence

An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application

Xing Cai et al.

Summary: An improved quantum-inspired cooperative co evolution algorithm MSQCCEA is proposed to address the issues of slow convergence speed, poor global search ability, and difficult rotation angle design in the quantum-inspired evolutionary algorithm. The algorithm combines cooperative co-evolution, random rotation direction, and Hamming adaptive rotation angle strategies to enhance global search capability and convergence speed. The new airport gate allocation optimization method using MSQCCEA shows promising potential for effective airport management decision-making.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

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Review Computer Science, Information Systems

A review on genetic algorithm: past, present, and future

Sourabh Katoch et al.

Summary: This paper discusses recent advances in genetic algorithms, analyzing selected algorithms of interest in the research community. It helps new and demanding researchers gain a broader understanding of genetic algorithms. The review covers well-known algorithms, genetic operators, research domains, and future research directions in genetic algorithms.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

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Article Computer Science, Hardware & Architecture