1.0The Kolabtree Bloghttps://www.kolabtree.com/blog/ja/Sergio Riverahttps://www.kolabtree.com/blog/ja/author/sergiorivera/rich600338<blockquote class="wp-embedded-content" data-secret="QiN47BZ5jz"><a href="https://www.kolabtree.com/blog/ja/ieee-optimization-competition/">IEEE最適化コンペティション</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.kolabtree.com/blog/ja/ieee-optimization-competition/embed/#?secret=QiN47BZ5jz" width="600" height="338" title="“IEEE Optimization Competition” — The Kolabtree Blog" data-secret="QiN47BZ5jz" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /*! This file is auto-generated */ !function(c,d){"use strict";var e=!1,o=!1;if(d.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(/[^a-zA-Z0-9]/.test(t.secret));else{for(var r,s,a,i=d.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),n=d.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),o=new RegExp("^https?:$","i"),l=0;l<n.length;l++)n[l].style.display="none";for(l=0;l<i.length;l++)if(r=i[l],e.source!==r.contentWindow);else{if(r.removeAttribute("style"),"height"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if("link"===t.message)if(s=d.createElement("a"),a=d.createElement("a"),s.href=r.getAttribute("src"),a.href=t.value,!o.test(a.protocol));else if(a.host===s.host)if(d.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener("message",c.wp.receiveEmbedMessage,!1),d.addEventListener("DOMContentLoaded",t,!1),c.addEventListener("load",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf("MSIE 10"),a=!!navigator.userAgent.match(/Trident.*rv:11\./),i=d.querySelectorAll("iframe.wp-embedded-content"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute("data-secret")))r=Math.random().toString(36).substr(2,10),t.src+="#?secret="+r,t.setAttribute("data-secret",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute("security"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:"ready",secret:r},"*")}}}}(window,document); </script>https://www.kolabtree.com/blog/wp-content/uploads/2017/01/algorithm.jpg775720CALL FOR COMPETITION  Heuristic optimization has undergone significant developments in recent years. By using different novel mechanisms for improved search exploration and exploitation, modern heuristic optimization tools have demonstrated a great promise for solving real world problems with high mathematical complexity. The Working Group on Modern Heuristic Optimization under the IEEE PES Power System Analysis, Computing, and Economics Committee is organizing a Panel Session combined with a Competition titled: “Evaluating the Performance of Modern Heuristic Optimizers on Smart Grid Operation Problems” The session will be held at the 2017 IEEE PES General Meeting. This panel and competition concerns with two hard-to-solve optimization test beds: i) Stochastic OPF based active-reactive power dispatch;Read More