From 6cad443ae41e20e5f3f60488a1ec8e6a168de69d Mon Sep 17 00:00:00 2001
From: willbemaker <2099882962@qq.com>
Date: Thu, 27 Jun 2024 17:13:44 +0800
Subject: [PATCH] up

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 1 file changed, 59 insertions(+), 56 deletions(-)

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@@ -5933,7 +5933,66 @@ <h3 class="article-title mb-0 mt-0">
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+  <div class="col-12 isotope-item ">
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+    <div class="media stream-item">
+      <div class="media-body">
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+        <h3 class="article-title mb-0 mt-0">
+          <a href="https://github.com/thuiar/Books/tree/main/%E6%99%BA%E8%83%BD%E6%BC%94%E5%8C%96%E4%BC%98%E5%8C%96" >Intelligent Evolutionary Optimization (Chinese version)</a>
+        </h3>
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+        
+        <a href="" class="summary-link">
+          <div class="article-style">
+            Intelligent Evolutionary Optimization introduces biologically-inspired intelligent optimization algorithms to address complex optimization problems and provide practical solutions for tackling combinatorial optimization problems. The book explores efficient search and optimization methods in high-dimensional spaces, particularly for high-dimensional multi-objective optimization problems, offering practical guidance and effective solutions across various domains. Providing practical solutions, methods, and tools to tackle complex optimization problems and enhance modern optimization techniques, this book will be a valuable resource for professionals seeking to enhance their understanding and proficiency in intelligent evolutionary optimization.The full codes are available for use at <a href="https://github.com/thuiar/Books/tree/main/%E6%99%BA%E8%83%BD%E6%BC%94%E5%8C%96%E4%BC%98%E5%8C%96" >this link</a>.     
+  
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+          <img src="/monograph/Intelligent Evolutionary Optimization/c_150.jpg" alt="Intelligent Evolutionary Optimization">
+        </a>
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+    </div>
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@@ -6064,62 +6123,6 @@ <h3 class="article-title mb-0 mt-0">
 
 
 
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-        <a href="https://github.com/thuiar/Books/tree/main/%E6%99%BA%E8%83%BD%E6%BC%94%E5%8C%96%E4%BC%98%E5%8C%96" >Intelligent Evolutionary Optimization (Chinese version)</a>
-      </h3>
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-      
-      <a href="" class="summary-link">
-        <div class="article-style">
-          Intelligent Evolutionary Optimization introduces biologically-inspired intelligent optimization algorithms to address complex optimization problems and provide practical solutions for tackling combinatorial optimization problems. The book explores efficient search and optimization methods in high-dimensional spaces, particularly for high-dimensional multi-objective optimization problems, offering practical guidance and effective solutions across various domains. Providing practical solutions, methods, and tools to tackle complex optimization problems and enhance modern optimization techniques, this book will be a valuable resource for professionals seeking to enhance their understanding and proficiency in intelligent evolutionary optimization.The full codes are available for use at <a href="https://github.com/thuiar/Books/tree/main/%E6%99%BA%E8%83%BD%E6%BC%94%E5%8C%96%E4%BC%98%E5%8C%96" >this link</a>.     
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-        <img src="/monograph/Intelligent Evolutionary Optimization/c_150.jpg" alt="Intelligent Evolutionary Optimization">
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