Optimization is a discipline of dealing with those kinds of problems where one has to minimize or maximize one or more objectives that are functions of some integer or real variables without exploiting the given constraints. The Single objective and multi-objective optimization problem is to optimize...
The primary focus of the SWO algorithm is to solve the optimal power flow problem in power systems. This involves optimizing several objective functions, including fuel cost, pollutant emissions, active power losses, and voltage standard deviation. For multi-objective optimization, the SWO algorithm ...
12 proposed an improved Salp Swarm Algorithm (ISSA) in 2022 for single-objective continuous optimization problems. A set of 14 standard benchmark functions was used to evaluate the performance of ISSA. In 2023, Nadimi et al.13 proposed a binary starling murmuration optimization (BSMO) to select...
Solving Optimization Problem In subject area: Engineering The main aim of solving optimization problems is to find the optimal solution or a set of optimal solutions such that the objective function can be minimized or maximized. From: Nature-Inspired Computation and Swarm Intelligence, 2020 About ...
multiobjective optimization problemfuzzy programminginterval numberThe aim of this article is to present a fuzzy programming approach to a single-sink, fixed-charge, multiobjective, multi-index stochastic transportation problem (SSMISTP). This article focuses on the minimization of the transportation cost...
In this paper, we propose an artificial immune system (AIS) based on the danger theory in immunology for solving dynamic nonlinear constrained single-objective optimization problems with time-dependent design spaces. Such proposed AIS executes orderly three modules—danger detection, immune evolution and...
In general, optimization methods are divided into deterministic and heuristic. Deterministic methods aim to establish an iterative process involving a gradient, which, after a certain number of iterations, will converge to the minimum of the objective function. The iterative procedure of this type of...
SYSTEM AND METHOD FOR SOLVING MULTIOBJECTIVE OPTIMIZATION PROBLEMSA system and method for solving a set of optimization problems initializes a current region of optimal solutions for the set of optimization problems, performs a reduction phase, and provides the optimal solutions within the current ...
Quantum computers provide a valuable resource to solve computational problems. The maximization of the objective function of a computational problem is a crucial problem in gate-model quantum computers. The objective function estimation is a high-cost pr
In single-objective optimization there exists a global optimum, while in the multi-objective case no optimal solution is clearly defined but rather a set of optimums, which constitute the so called Pareto-optimal front. Thus, the goal of multi-objective strategies is to generate a set of non...