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MixedInteger Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS
This project is moved to github: https://lp-solve.github.io/
The toolkit glpk supports methods for mixedinteger linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections.
Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading.
Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems.
The main features of LiPS are:
● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems.
● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming
Generic toolbox of Particle Swarm Optimization developed in Scilab (PSOTS). It is developed for a variety of complex problems, including single and multi-objective optimization problems, continuous and discrete problems, and mixedinteger problems.
natural sort / order of arrays, sorts integer, string and mixed arrays - also strings with numbers included will be ordered naturaly, natsort and natcasesort for javascript