Search
Search Results
-
Solving Continuous Optimization Problems with a New Hyperheuristic Framework
Continuous optimization is a central task in computer science. Hyperheuristics prove to be an effective mechanism for intelligent operator selection...
-
Harmony-driven technique for solving optimization and engineering problems
Optimization techniques play a crucial role in improving the performance of machine learning applications. However, traditional techniques may not be...
-
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization algorithm (SBOA), inspired by the survival...
-
Modified crayfish optimization algorithm for solving multiple engineering application problems
Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the crayfish search efficiency decreases in the later stage of the...
-
Improved Salp swarm algorithm for solving single-objective continuous optimization problems
The Salp Swarm Algorithm (SSA) is an effective single-objective optimization algorithm that was inspired by the navigating and foraging behaviors of...
-
IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems
Harris Hawks optimization (HHO) algorithm was a powerful metaheuristic algorithm for solving complex problems. However, HHO could easily fall within...
-
Black eagle optimizer: a metaheuristic optimization method for solving engineering optimization problems
This paper proposes a new intelligent optimization algorithm named Black Eagle Optimizer (BEO) based on the biological behaviour of the black eagle....
-
An improved numerical approach for solving shape optimization problems on convex domains
This work is devoted to show the efficiency of a new numerical approach in solving geometrical shape optimization problems constrained to partial...
-
Incorporate seagull optimization into ordinal optimization for solving the constrained binary simulation optimization problems
Constrained binary simulation optimization problems (CBSOP) are optimization problems with binary variables and stochastic objective function subject...
-
Learning search algorithm: framework and comprehensive performance for solving optimization problems
In this study, the Learning Search Algorithm (LSA) is introduced as an innovative optimization algorithm that draws inspiration from swarm...
-
A roadmap for solving optimization problems with estimation of distribution algorithms
In recent decades, Estimation of Distribution Algorithms (EDAs) have gained much popularity in the evolutionary computation community for solving...
-
Improved versions of crow search algorithm for solving global numerical optimization problems
Over recent decades, research in Artificial Intelligence (AI) has developed a broad range of approaches and methods that can be utilized or adapted...
-
Dynamic Continuous Distributed Constraint Optimization Problems
The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool to model multi-agent coordination problems that are distributed...
-
An improved gazelle optimization algorithm using dynamic opposition-based learning and chaotic map** combination for solving optimization problems
The gazelle optimization algorithm (GOA) is an iterative optimization method inspired by the agile movements of gazelles, employing adaptive step...
-
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch...
-
Solving continuous optimization problems using the ımproved Jaya algorithm (IJaya)
Jaya algorithm is one of the heuristic algorithms developed in recent years. The most important difference from other heuristic algorithms is that it...
-
INNA: An improved neural network algorithm for solving reliability optimization problems
The main objective of this paper is to present an improved neural network algorithm (INNA) for solving the reliability-redundancy allocation problem...
-
An enhanced seagull optimization algorithm for solving engineering optimization problems
The seagull optimization algorithm (SOA) is a recently proposed meta-heuristic optimization algorithm inspired by seagull foraging behavior. It has...
-
Models to classify the difficulty of genetic algorithms to solve continuous optimization problems
What constitutes a hard optimization problem to an Evolutionary Algorithm (EA)? To answer the question, the study of Fitness Landscape (FL) has...
-
Inertial self-adaptive algorithms for solving non-smooth convex optimization problems
In this paper, for two different forms of non-smooth convex optimization problems, we investigate the self-adaptive algorithms with inertia...
