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Related Concept Videos

Chemical Reactions02:26

Chemical Reactions

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A balanced chemical equation provides the information of chemical formulas of the reactants and products involved in the chemical change. A reaction’s stoichiometry helps predict how much of the reactant is needed to produce the desired amount of product, or in some cases, how much product will be formed from a specific amount of the reactant.
The relative amounts of reactants and products represented in a balanced chemical equation are often referred to as stoichiometric amounts.
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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
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Introduction to Chemical Reactions01:23

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All chemical reactions begin with a reactant, the general term for one or more substances entering the reaction. Sodium and chloride ions, for example, are the reactants in the production of table salt. One or more substances produced by a chemical reaction are called the product. Chemical reactions follow the law of conservation of mass, which means that matter cannot be created nor destroyed in a chemical reaction. The components of the reactants—the number of atoms and the...
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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Reaction Mechanisms

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Chemical reactions often occur in a stepwise fashion, involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs.
For instance, the decomposition of ozone appears to follow a mechanism with two steps:
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Reaction Rate02:53

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The rate of reaction is the change in the amount of a reactant or product per unit time. Reaction rates are therefore determined by measuring the time dependence of some property that can be related to reactant or product amounts. Rates of reactions that consume or produce gaseous substances, for example, are conveniently determined by measuring changes in volume or pressure.
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Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling
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Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling

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Modified chemical reaction optimization and its application in engineering problems.

Shijing Ma1, Yunhe Wang2, Shouwei Zhang1

  • 1School of Physical Education, Northeast Normal University, Changchun 130022, China.

Mathematical Biosciences and Engineering : MBE
|November 24, 2021
PubMed
Summary

This study introduces an enhanced Chemical Reaction Optimization (CRO) algorithm, improving efficiency and performance for complex optimization tasks. The novel approach demonstrates superior results compared to existing methods in benchmark tests and antenna array synthesis.

Keywords:
applicationchemical reaction optimizationoptimization

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Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Evolutionary Computation

Background:

  • Chemical Reaction Optimization (CRO) is an evolutionary algorithm simulating chemical reactions for optimization.
  • Existing CRO algorithms have been applied to various real-world problems.
  • Further enhancements are needed to boost CRO's efficiency and exploration capabilities.

Purpose of the Study:

  • To propose a novel, real-encoded Chemical Reaction Optimization (CRO) algorithm.
  • To enhance the efficiency and exploration of the standard CRO algorithm.
  • To introduce improved population initialization and search mechanisms.

Main Methods:

  • Developed a real-encoded CRO algorithm inspired by differential evolution.
  • Implemented an improved search operation mechanism exploring the search space around the best individuals.
  • Introduced a new population initialization method using multiple models.
  • Adjusted the modification rate to balance exploration and exploitation.

Main Results:

  • The proposed algorithm significantly outperformed the standard CRO and other evolutionary algorithms on nine unconstrained benchmark functions.
  • Experimental results validated the enhanced exploration and exploitation balance.
  • The algorithm achieved superior performance in the antenna array synthesis problem.

Conclusions:

  • The enhanced real-encoded CRO algorithm offers improved efficiency and effectiveness for optimization tasks.
  • The novel methods provide a robust framework for tackling complex real-world problems.
  • The algorithm shows significant potential for applications in engineering and scientific computing.